جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۳۶-۷۵۰ از ۵٬۱۳۹ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Leanne Sakzewskiمشاهده پروفایل

دانشیار

University of QueenslandAustralia

Leanne Sakzewski is an Associate Professor at the Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland. She serves as a Principal Research Fellow at the Child Health Research Centre and is affiliated with the Queensland Cerebral Palsy Rehabilitation and Research Centre. Her research is primarily focused on randomized clinical trials in cerebral palsy and childhood brain injuries, with particular emphasis on upper limb rehabilitation and motor training interventions. Dr. Sakzewski's research interests include upper limb training approaches for infants and children with unilateral cerebral palsy; intensive models of motor training to improve gross motor and manual abilities for children with bilateral cerebral palsy; participation-focused interventions to increase physically active leisure for children with cerebral palsy; and social skills group-based programs for adolescents with brain injuries. Her work demonstrates a strong commitment to evidence-based rehabilitation approaches that translate into practical clinical applications. Her recent publications show a consistent focus on intervention efficacy, with numerous randomized controlled trials examining various therapeutic approaches for children with cerebral palsy. The research spans multiple domains including motor function, social skills development, physical activity promotion, and early intervention strategies. Her collaborative work with multidisciplinary teams demonstrates the comprehensive nature of her research program. Dr. Sakzewski has received recognition for her research, including a Dean's Commendation for outstanding Research Higher Degree following completion of her PhD in 2010 from The University of Queensland. Her work has been published extensively in high-impact journals across rehabilitation science, pediatrics, and neurology. With over 100 journal articles to her name, Dr. Sakzewski has established herself as a leading researcher in pediatric rehabilitation for children with cerebral palsy. Her research bridges clinical practice and scientific investigation, with a focus on developing and testing interventions that can be readily implemented in clinical settings to improve outcomes for children with neurological conditions.

پروفایل رسمی دانشگاه

Claudia Barthمشاهده پروفایل

استاد

Charité - Universitätsmedizin BerlinGermany

Prof. Dr. Claudia Barth is a Professor of Neurobiology of Hormonal Transitions at Charité - Universitätsmedizin Berlin, holding dual appointments at the Department of Psychiatry and Neurosciences and the Institute of Gender in Medicine (GiM). As Head of the Research Division Neurobiology of Hormonal Transitions, she leads pioneering work integrating preclinical and clinical perspectives with computational approaches to study hormonal transitions and their impact on brain health and psychiatric disorders. She currently serves as Chair of the ENIGMA Neuroendocrinology Working Group – Menopause Subgroup and Co-Chair of the ENIGMA Early Onset Psychosis Working Group, fostering global research collaborations. Her educational background includes a PhD in Neuroscience (summa cum laude, 2017) from the University of Leipzig & Max Planck Institute, an MSc in Biology (Neurobiology & Behavior, 2012), and a BSc in Biology (2010). Prior to her current position, she completed postdoctoral training at the University of Oslo and Norwegian Centre for Mental Disorders Research (2018-2020), and doctoral research at the Max Planck Institute for Human Cognitive and Brain Science (2013-2017). Barth's research focuses on women's brain health across hormonal transition periods, with particular emphasis on menstrual cycle, pregnancy, and menopause. Her work investigates how sex hormones influence brain structure and function, and their relationship to psychiatric disorders including depression and psychosis. Through innovative approaches combining neuroimaging, registry data, and computational methods, she has established herself as a leading researcher in female brain health. Her recent work demonstrates how estradiol exposure affects brain aging trajectories and how hormonal transitions create vulnerability windows for mental health disorders. Her publication record shows consistent high-impact contributions in neuroscience journals, with recent articles exploring menstrual cycle effects on brain structure (2023), menopausal hormone therapy effects (2024), and comprehensive analyses of sex steroids across the lifespan (2023). Her research demonstrates increasing focus on translational applications, particularly in understanding how hormonal transitions affect vulnerability to depression and Alzheimer's disease. 2024: European Research Council Starting Grant (PI, €1.5M) - "MappingPerimenopause" 2025: Wellcome Leap CARE (Co-PI, €1.5M) - "Charting the female brain during midlife" 2025: Marie Skłodowska-Curie Actions Doctoral Networks (Co-PI, €4.7M) - "Gender-InSIGHT" 2025: Marie Skłodowska-Curie Actions Doctoral Networks (Co-PI, €4.5M) - "MenoBrain" As an active science communicator, Barth has contributed to public understanding through interviews with European Sleep Research Society (2025), Forbes (2023), podcasts on women's health (2024), and educational materials for Springer Medicine (2024). Her work bridges cutting-edge neuroscience with clinical applications to improve women's brain health outcomes across the lifespan.

پروفایل رسمی دانشگاه

Damien Coyleمشاهده پروفایل

استاد

Ulster UniversityUnited Kingdom

Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .

پروفایل رسمی دانشگاه

Benedikt Ehingerمشاهده پروفایل

استادیار

University of StuttgartGermany

Benedikt Ehinger is a Tenure-Track Professor for Computational Cognitive Science at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. His research bridges cognitive neuroscience, computational modeling, and visualization techniques to understand visual perception and decision-making processes. Education 2018: PhD in Cognitive Science from University of Osnabrück with thesis "Predictions, Decisions and Learning in the visual sense" 2013: Master of Science in Cognitive Science from University of Osnabrück with thesis "Filling in Blind-Spots: A psychophysical and an EEG study" 2011: Bachelor of Science in Cognitive Science from University of Osnabrück with thesis "Electrophysiological Correlates of Category Learning" Research Interests Ehinger's research focuses on the intersection of visual cognitive science, computational modeling, and neuroimaging techniques. His work primarily investigates predictive coding mechanisms in visual perception, statistical learning in visual scenes, eye movement control, method development for combined EEG and eye-tracking analyses, visual completion phenomena like the blind spot, and category learning and neural plasticity. His approach combines behavioral experiments, EEG recordings, eye-tracking, and advanced statistical modeling to uncover the computational principles underlying human visual cognition. Publication Trends Ehinger's publication record shows a clear evolution from foundational work on visual perception and category learning toward methodological innovations in neuroimaging analysis. His early work focused on visual completion phenomena, category learning, and melanopsin modeling. More recently, he has pioneered techniques for analyzing combined EEG and eye-tracking data, developing toolboxes like "unfold" that address critical challenges in temporal overlap correction and regression-based analysis. His research demonstrates a consistent thread of applying computational approaches to understand visual cognition while simultaneously advancing the methodological toolkit of cognitive neuroscience. Scientific Contributions Development of the "unfold" toolbox for overlap correction and regression-based EEG analysis Creation of the EEGVIS toolbox for EEG visualization Establishment of comprehensive eye-tracking test batteries for validating mobile eye-tracking devices Innovative approaches to modeling fixation durations and eye movement patterns Research Environment Ehinger leads the Computational Cognitive Science group within the Institute for Visualization and Interactive Systems at the University of Stuttgart. His work is situated at the intersection of cognitive science, neuroscience, and computer science, collaborating with researchers across these disciplines. His lab utilizes behavioral experiments, EEG, eye-tracking, and computational modeling to investigate visual cognition, with emphasis on open science practices and methodological transparency.

پروفایل رسمی دانشگاه

Jo Hajnalمشاهده پروفایل

استاد

King’s College LondonUnited Kingdom

Jo Hajnal is Professor of Imaging Sciences at King's College London and Chair in Imaging Physics and Engineering. With affiliations at Imperial College London (1990-2006) and King's College London (2012-present), he specializes in in vivo imaging techniques including MRI, ultrasound, and optical imaging. His work integrates data acquisition , image reconstruction , and analysis pipelines for biomedical applications. Doctor of Science, University of Bristol (1984) Bachelor of Science, University of Bristol (1981) Research interests focus on fetal imaging and neonatal brain development , with major projects like the Developing Human Connectome Project and iFind Project. He has pioneered parallel transmit MRI methods (http://mriphysics.github.io). Recent research outputs span 7 Tesla pediatric epilepsy MRI , low-field fetal imaging , and AI-driven volumetry in fetal scans. His work addresses UN Sustainable Development Goals for education advancement. Fellow, International Society of Magnetic Resonance in Medicine (2014) Current projects include: 3D fetal heart flow measurement (MRC), VR ultra-high field MRI (Action Medical Research), and neonatal injury detection (Rosetrees Trust). Supervised work spans 9 projects, including fetal imaging and neurodevelopmental studies.

پروفایل رسمی دانشگاه

Ellen Wellsمشاهده پروفایل

دانشیار

Purdue UniversityUnited States

Ellen Wells is an Associate Professor at the Department of Public Health , School of Health Sciences , Purdue University. Her work focuses on environmental health , occupational exposure , and epidemiology , particularly regarding heavy metals, neurotoxicity, and environmental justice. BS, 1998, Oberlin College MPH/MEM, 2004, Yale University PhD, 2009, Johns Hopkins University Ellen leads the Equity, Environment and Epidemiology Lab , developing innovative methods like portable X-ray fluorescence (XRF) for noninvasive bone metal quantification. Her research spans: Heavy metal toxicity (uranium, lead, manganese, mercury) in conflict zones and industrial settings Neurodegenerative disease risks from occupational exposures Environmental justice frameworks for community engagement Pandemic behavioral studies via large-scale surveys Her 15 most recent publications emphasize environmental health disparities (Fallujah, Indiana), metal biomarker validation , and neuroimaging toxicology . Key collaborations involve NHANES data analysis and international fieldwork in China and Iraq. Ellen teaches graduate courses in epidemiology and environmental risk assessment , mentoring students in methods like GIS mapping, biomonitoring, and community-based research. She maintains active partnerships with public health agencies and environmental advocacy groups.

پروفایل رسمی دانشگاه

Paul R. Adamsمشاهده پروفایل

استاد

Stony Brook UniversityUnited States

Paul R. Adams is a Professor in the Department of Neurobiology and Behavior at Stony Brook University's Renaissance School of Medicine. He joined Stony Brook in 1981 as an Associate Professor and was promoted to Professor in 1984, following prior faculty service at the University of Texas (1977-1981). His educational background includes a B.A. in Physiology and Pharmacology from Cambridge University (1968) and a Ph.D. in Pharmacology from London University (1974). Professor Adams' research centers on computational neuroscience , investigating how synaptic modifications underlying learning are compromised by crosstalk between densely packed synapses. His pioneering Synaptic Darwinism theory proposes evolutionary mechanisms for cortical learning, including "Hebbian proofreading" where layer 6 neurons detect and correct learning errors. He further explores how inter-brain communication networks overcome individual learning failures through information sharing. His publication trajectory reveals consistent focus on mathematical modeling of neural plasticity, evolving from foundational Synaptic Darwinism concepts (1997-2002) to recent work on crosstalk minimization (2013-2014). Key themes include Hebbian learning constraints, cortical circuitry reinterpretation, and theoretical solutions to neural network limitations. Notable honors include the MacArthur Foundation Prize (1986), election as Fellow of the Royal Society (1991), and Howard Hughes Medical Institute Investigatorship (1987-1995). Professor Adams leads theoretical neuroscience research through the Kalypso Mind/Brain Center, collaborating with Research Assistant Professor Kingsley Cox. His HHMI-funded work has influenced understanding of cortical function relevant to autism, schizophrenia, and epilepsy. He serves on editorial boards including Frontiers in Neural Circuits . The Synaptic Darwinism project maintains active investigation into cerebral cortex principles, exploring implications for both neurological disorders and fundamental questions about consciousness.

پروفایل رسمی دانشگاه

Rachel Allavenaمشاهده پروفایل

استاد

University of QueenslandAustralia

Rachel Allavena is a Professor and Deputy Head of School at the School of Veterinary Science, The University of Queensland . She specializes in veterinary pathology and comparative medicine , developing cancer immunotherapies using pet dogs with natural cancer as models for human oncology. Her work bridges veterinary and human medicine, focusing on translational research . She also leads forensic pathology investigations for Racing Queensland , Queensland Police , and RSPCA Queensland , advocating for animal cruelty prevention . PhD in Comparative Medicine (Cornell University) Postgraduate Diploma in Veterinary Anatomic Pathology (University of Guelph) Bachelor of Veterinary Biology and Honours (University of Queensland) Her research spans comparative oncology (including canine brain cancer, lymphoma, melanoma, osteosarcoma ), koala conservation (co-developer of KoalaBASE database), and envenomation studies . She has trained ACVP board-certified pathologists and developed drug safety testing protocols in the UK pharmaceutical sector. Her immunotherapy trials have achieved 20% cure rates in terminal canine cancer patients. 2015 - Faculty of Science Teaching Excellence Award 2021 - UQ Citation for Outstanding Contributions to Student Learning As a media expert , she has featured in international outlets and delivered a TEDx talk on canine cancer therapy. She actively supervises PhD/MPhil students in projects like Canine Osteosarcoma Immunotherapy and Feline GI Lymphomas . Her team explores biometallic implants and forensic pathology applications.

پروفایل رسمی دانشگاه

Lara Rayمشاهده پروفایل

استاد

University of California, Los AngelesUnited States

Dr. Lara Ray is a Professor in the Department of Psychology at the University of California, Los Angeles, where she serves as a faculty member in the College of Life Sciences. She is a leading researcher in clinical neuroscience of addiction, focusing on alcohol use disorder (AUD), behavioral genetics, and pharmacological interventions. Research Focus: Neural mechanisms of addiction, sex differences in AUD, neuroimmune signaling, stress reactivity, and co-occurring substance use disorders. Awards: Recipient of the Nancy Petry Mid-Career Award for exceptional contributions to addiction research. Recent Publications: 15 most recent studies include machine learning for AUD subtyping, neuroimaging of cue reactivity, and pharmacological interventions targeting neuroinflammation. Media Engagement: Featured in CNN’s This is Life with Lisa Ling and interviewed by KCRW and ABC 7 on AUD trends and social media addiction parallels.

پروفایل رسمی دانشگاه

Daniel Berryمشاهده پروفایل

دانشیار

University of Minnesota Twin CitiesUnited States

Daniel Berry is an Associate Professor at the Institute of Child Development , University of Minnesota. His research focuses on how children’s experiences shape self-regulation skills, including impulse control, attention management, and information processing, with applications to vulnerable populations and high-risk contexts. EdD, 2010, Harvard University His work integrates developmental neuroscience , hormones and behavior , and quantitative methods for longitudinal data . Key themes include: Neurophysiological mechanisms of self-regulation Impact of caregiving environments on development Statistical modeling of complex longitudinal data Recent publications highlight trends in autonomic nervous system dynamics , cross-system regulation , and causal inference in developmental contexts . He is open to advising new PhD students in fall 2026. Dr. Berry leads the Bioecology, Self-Regulation and Learning Lab , which employs experimental and longitudinal approaches to study mind-brain-environment interactions. No scientific awards are explicitly mentioned in the text.

پروفایل رسمی دانشگاه

Justin T Bakerمشاهده پروفایل

استادیار

Harvard UniversityUnited States

Justin T Baker is an Assistant Professor of Psychiatry at McLean Hospital, where he leads the Baker Lab. His research focuses on understanding the biology of severe mental illnesses like schizophrenia and bipolar disorder through deep phenotyping, computational methods, and machine learning. He develops unobtrusive tools for naturalistic behavioral monitoring to improve diagnosis and treatment strategies. Research interests include: Neuropathology and disease mechanisms in psychiatry Computational psychiatry and machine learning applications Deep phenotyping of mental illness Longitudinal studies of brain-behavior relationships Neuroimaging and brain structure/function analysis His recent publications emphasize predictive modeling of cognitive function, trauma-related dissociation, PTSD neuroanatomy, and AI integration in psychiatric care. Collaborations span global cohorts like the AMP® SCZ initiative and ENIGMA-PGC PTSD workgroup.

پروفایل رسمی دانشگاه

Joonki Nohمشاهده پروفایل

دانشیار

Case Western Reserve UniversityUnited States

Joonki Noh serves as Associate Professor in the Department of Banking & Finance at Case Western Reserve University's Weatherhead School of Management, where he joined in 2015 after completing his finance doctorate at Emory University. His academic journey includes dual doctoral training in finance and electrical engineering, reflecting his interdisciplinary expertise. Education PhD in Finance, Emory University (2015) PhD in Electrical Engineering, University of Michigan (2007) MA in Electrical Engineering, University of Michigan (2007) MS in Electrical Engineering, University of Michigan (2005) BS in Electrical Engineering, Seoul National University (2003) Noh's research integrates quantitative finance with computational methods, focusing on empirical asset pricing , market microstructure , and textual analysis enhanced by machine learning techniques. His work examines how linguistic patterns in corporate disclosures affect market reactions, liquidity dynamics in asset pricing, and information diffusion through industry networks. Teaching responsibilities span Investment Management and Financial Modeling in Big Data for both undergraduate and Master of Finance students. His publication record demonstrates evolving expertise from early biomedical engineering research to contemporary finance applications, with recent work leveraging natural language processing on earnings conference calls and liquidity factor modeling. This trajectory highlights his unique ability to transfer methodological rigor across disciplinary boundaries. Academic Honors Shinhan Finance Investment Best Paper Award (2022) Korea America Finance Association Young Scholar Award (2019) Financial News & KAFA Top-Journal Paper Award (2018, 2022) George J. Benston Scholar Award at Emory University (2014) Outstanding Graduate Student Instructor Award (University of Michigan, 2008) Noh actively contributes to academic governance as seminar organizer for the BAFI Department Research Series and committee member for faculty recruitment. His professional service includes editorial roles for the Asia-Pacific Association of Derivatives and conference reviewing for major finance associations. He maintains strong connections with Korean financial institutions through KAFA partnerships while presenting research at premier venues including the American Finance Association and European Finance Association meetings.

پروفایل رسمی دانشگاه

Hiroaki Masakiمشاهده پروفایل

استاد

Waseda UniversityJapan

Hiroaki Masaki is a Professor at the School of Sport and Sciences, specializing in neurocognitive and psychophysiological mechanisms of athletic performance. He earned his Ph.D. in Human Sciences from Waseda University in 1997 and leads the Masaki Lab, which investigates motor control, performance monitoring, and cognitive processes in sports contexts using methods like EEG/ERP and virtual reality. His research integrates sport psychology, cognitive neuroscience, and experimental physiology to optimize athletic training and performance under pressure. Masaki's research focuses on Sport Psychology, Psychophysiology, and Cognitive Neuroscience, with emphasis on: (1) Attentional and motor control mechanisms in sports performance (e.g., effects of visual stimuli on precision tasks), (2) Neural correlates of error monitoring and decision-making using ERP (e.g., ERN/Pe components), and (3) Interoception and hemispheric asymmetry in athletic contexts. His work employs neurophysiological metrics to decode cognitive flexibility, performance anxiety, and skill acquisition. Recent publications (2020–2025) demonstrate a consistent focus on sport-specific neurocognition, including studies on golf putting, tennis, basketball, and rowing. Key trends include the application of immersive VR for dynamic task analysis, exploration of left-hand contraction effects on performance, and the impact of motivational incentives on cognitive control. Methodologically, 80% of recent articles use ERP/EEG, highlighting a neurophysiological emphasis. Masaki directs the Masaki Lab, which utilizes advanced neuroimaging and behavioral paradigms to study real-time cognitive processes in athletes. The lab collaborates on interdisciplinary projects, such as VR-based cognitive assessments and pediatric physical education initiatives.

پروفایل رسمی دانشگاه

Martijn Froelingمشاهده پروفایل

استادیار

Utrecht UniversityNetherlands

Martijn Froeling serves as an Assistant Professor at University Medical Center Utrecht, actively contributing to the Precision Imaging research group within the High Field division. His work bridges advanced MRI technology development with clinical applications targeting critical health domains including brain cancer, circulatory health, dementia, and musculoskeletal disorders. His academic foundation includes: Master's in Biomedical Engineering from Eindhoven University of Technology (July 2009) PhD in Diffusion Tensor Imaging of the human forearm from Amsterdam University Medical Center and Eindhoven University of Technology (October 2012) Dr. Froeling's research centers on pioneering quantitative MRI methodologies, with specialized expertise in Diffusion Tensor Imaging (DTI) across multiple organ systems (brain, peripheral nerves, muscle, kidney, heart). He drives innovation in 7T MRI hardware development—including specialized coils for multi-nuclei imaging—and conducts clinical studies focused on neuromuscular diseases. His QMRITools software platform for Mathematica enables sophisticated quantitative MRI analysis, directly supporting his mission to 'see the unseen' for advancing clinical diagnostics in cancer, cardiovascular disease, stroke, and MSK conditions. Analysis of his 2024-2025 publications reveals a cohesive research trajectory: DTI applications dominate clinical studies (hamstring injuries, fasciculation mapping), while parallel technical work advances ultra-high-field hardware (double-tuned coils for ²H/³¹P imaging). This dual focus on clinical impact and technological innovation demonstrates his commitment to translating engineering breakthroughs into tangible medical solutions. No scientific awards were documented in the provided materials. While the text confirms Dr. Froeling's role in supervising PhD work (evidenced by his PhD completion under prominent supervisors), no current students or specific grant funding details are explicitly mentioned in the source material. He operates within the High Field group at University Medical Center Utrecht, leading the Precision Imaging research initiative. This team specializes in developing cutting-edge MRI hardware (particularly for 7T systems), maintaining the QMRITools analysis platform, and executing clinical trials targeting neuromuscular pathologies alongside broader applications in oncology and cardiovascular medicine.

پروفایل رسمی دانشگاه

Susanne Gerberمشاهده پروفایل

استاد

University of MainzGermany

Susanne Gerber is a Professor at iDNA and Adjunct Director at the Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz (JGU), affiliated with the Faculty of Biology's Bioinformatics department. Her academic journey includes an Assistant Professorship in Bioinformatics at JGU (2015-2020) and postdoctoral research at Università della Svizzera italiana. Her educational background comprises a PhD in Biophysics from Humboldt University of Berlin (2011), an M.Sc. in Bioinformatics from Free University of Berlin and Konrad Zuse Institute (2007), and a B.Sc. in Bioinformatics from Free University of Berlin and Max Planck Institute (2004). Dr. Gerber's research spans Bioinformatics, Computational Genomics, Systems Biology, Molecular Evolution, and Neuroinformatics , focusing on developing computational frameworks for genomic analysis, neurodegenerative disease modeling, and microbiome interactions. Her work integrates machine learning with multi-omics data to address complex biological questions in molecular evolution and neural systems. Analysis of her 15 most recent publications (2024-2025) reveals a strong emphasis on nanopore sequencing applications for RNA modification detection, deep learning frameworks for genomic data enhancement, and neurobehavioral modeling using AI-driven approaches. Key thematic clusters include epitranscriptomics, chromatin dynamics, and computational psychiatry with ethical AI considerations. Her methodological innovations include tools like COMET for network analysis, CCUT for chromatin data enhancement, and ModiDeC for RNA modification classification, demonstrating translational impact across genomics and neuroscience. Dr. Gerber leads research groups at IMB and iDNA focusing on computational genomics, advising students in bioinformatics and securing grants for AI-driven genomic analysis. Her labs develop open-source tools for nanopore data processing and neuroimaging analysis, fostering collaboration between computational and experimental biologists.

پروفایل رسمی دانشگاه

نمایش نتایج تا ۷۵۰ مورد اول. برای یافتن نتایج دقیق‌تر، جستجوی خود را با فیلترها محدود کنید.