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Field
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-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. Most teams associate fundamental
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. The successful candidate should also be detail oriented and enjoy a diverse working environment. Required Qualifications • PhD in biology, neuroscience, genetics or related field. PhD must be awarded no more than
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translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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for tobacco cessation. The ideal candidate will have a strong background in biostatistics, epidemiology, psychology, or cognitive neuroscience, with demonstrated success as a recent Ph.D. graduate with a track
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Biological Sciences / Neuroscience. Experience in neurobiology or translational neuroscience setting and/or computational biology. Strong communication and interpersonal skills. Time management and
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postdoctoral candidates with background in social psychology, cognitive science, or social neuroscience to join a highly interdisciplinary project on the computational model of religious decision-making
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Neuroscientist, Clinical Psychologist, Medical Doctor, and Neurologist. The successful applicant should have a PhD in Cognitive Neuroscience, Cognitive Psychology, Experimental Psychology, Neuropsychology, or a
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Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field