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POSTDOCTORAL JOBS - HUMAN COGNITIVE NEUROSCIENCE Requisition # 4430 Position Basics Advertising Ends on:Sunday, August 31st, 2025 Advertising Started on:Friday, June 13th, 2025 College:College
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for more information about our research program. This position is an excellent opportunity for a motivated individual preparing for an independent career in Systems Neuroscience or related fields
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Requisition Number: 2025 - 202 Business Unit: College of Medicine Department: Pharmacology/Exp Neuroscience 50000523 Reg-Temp: Full-Time Regular Position Summary: The Department of Pharmacology and Experimental
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Minimum Education and Experience PhD, MD or MD/PhD in psychology, cognitive neuroscience, computational psychiatry, or a related field. Proficiency with programming and data analysis using at least one of
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: The qualified candidate should hold a PhD in Medicinal Chemistry, Radiochemistry, Neuroscience, Pharmacology, or related fields. Hands-on experience with CNS models (e.g., neurodegenerative or psychiatric models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
Postdoctoral Research Associate to focus on computational neuroscience. Minimum Education and Experience Requirements PhD or MD. Required Qualifications, Competencies, and Experience Advanced knowledge
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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Biomedical and Health Sciences is seeking a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human
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engineering, neuroscience, computational biology, or a closely related field ï‚· Strong oral and written communication skills ï‚· Demonstrated motivation, initiative, and attention to detail ï‚· Deep interest
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models