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Field
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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. Confidence working with the command line in a HPC environment. Applications from candidates with a background in mathematics or computer science with a keen interest in learning molecular neuroscience
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The Computational Neuropsychology & Simulation (CNS ) Lab and Dr. Thomas D. Parsons, PhD invites applications for a postdoctoral fellow focused on research in social neuroscience, computer
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subfields of psychology, including but not limited to social, cognitive, developmental, clinical, neuroscience, quantitative, health, and legal psychology, who are interested in applying their research
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with experience in one or more of the following areas: human genetics, computational neuroscience, multi-omics data analysis including RNA-Seq, and systems biology/network analysis. Strong data science
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therapy) on reward circuit function (assessed through functional magnetic resonance imaging; fMRI) and information encoding (assessed through computational models of reward-processing task behavior) under
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/Watabe-Uchida laboratory at Harvard University to study the neural mechanism of decision-making. We seek an individual from a various background with an interest in animal behavior, computation in
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. This interdisciplinary program brings together top researchers in analytical chemistry, genetics, genomics, reproduction, veterinary and sports medicine, olfactory neuroscience, behavior and cognition, metrology, and
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treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and
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PhD degree in linguistics or a related behavioural science (including psychology, neuroscience, primatology, computer science, philosophy, sociology) - The doctoral dissertation must have been submitted