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depression and/or Parkinson’s disease. The position will perform these experiments using patch clamp electrophysiological approaches, and/or in-vivo behavior testing. Interactions are expected with other
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analysis software to ensure comprehensive and accurate research outcomes. Physical Demands and Work Environment The position requires extended periods of standing and repetitive movements, often in a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
generation (RAG) Prompt engineering experience Developing, training, and testing machine learning (ML) models Software engineering expertise Preferred Qualifications, Competencies, and Experience Experience
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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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, system integration and testing. The successful candidate will be required to conduct independent research, develop new ideas and contribute to research proposals, engage with faculty, staff, and students
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Posting Summary Logo Posting Number RTF00028PO21 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/8219 Business Title Post Doctoral Fellow Campus Columbia