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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program (Postdoctoral Scholar) Vacancy ID PDS004223 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC
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Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI
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centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our
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United Arab Emirates Application Deadline 1 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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neuroscience research with clinical applications to addiction and other mental health concerns. Our work draws on methods from psychology, experimental economics, human neuroscience, and computational psychiatry
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the generation of iPS cells. -Embryo manipulation/in vitro fertilization techniques. -Developmental neuroscience. -The biology of aging. -Preparation and analysis of next generation sequencing studies
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: 253054 Minimum Education and Experience: Ph.D. or equivalent in psychology, cognitive science, neuroscience or related discipline City: Newark State: NJ Location: Rutgers University-Newark Create a Job
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, Neuroscience, or a related field. A strong background in functional neuroimaging with experience in decoding and/or encoding models is required. Candidates with experience with recurrent neural networks will be
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Strong foundational skills in computational analysis of RNA-seq and CLIP-seq data. Working knowledge of immunofluorescence and immunoprecipitation assays. Minimum Qualifications Ph.D in Cell Biology
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cognitive neuroscience. You have documented experience in experimental research on learning or decision-making with knowledge of computational models (e.g., reinforcement learning). Good statistical skills