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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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synthetic organic and medicinal chemistry are encouraged to apply. The research is aimed at developing an automated chemical platform for the synthesis and biological evaluation of natural products as leads
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/Natural Resources Internal Number: 1121375 Position Summary The Michigan State University Department of Energy Plant Reseach Lab (MSU DOE-PRL) for a Postdoctoral Associate in research on plant endomembranes
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is available for this position. Depending on the candidate’s background and interests, research activities may include: Synthesis of complex biologically active natural products with unique scaffolds
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publications involving both traditional natural language processing techniques and large language models. Experience researching languages other than English would be a plus. This job will include opportunities
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position during standard business hours. Occasional schedule flexibility may be required to meet project deadlines or participate in partner meetings Qualifications Required Qualifications: PhD in ecology
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to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
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knowledge relevant to at least one or more of the following areas including natural language processing (NLP), generative AI (GenAI), conversational AI/dialogue systems, human-computer interaction (HCI
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application; Demonstrate a solid research trajectory and domain knowledge relevant to at least one or more of the following areas including natural language processing (NLP), generative AI (GenAI