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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 | about 21 hours 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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support to the Head of Division on this topic. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Your tasks and responsibilities will be
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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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practical and laboratory tests as well as sophisticated simulations. We not only publish research results gained at numerous conferences and in journals, but also make our software available in open source
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new topics while playing nice in a team. Your main task will be the development, conceptualization, and eventual implementation of new design automation methods and software for your field, e.g
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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