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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex
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writing. (30%); • Assist in the development of proposals for external funding for research projects. (5%) Requirements Required qualifications: - A PhD degree in synthetic or molecular biology, microbiology
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qualifications: A PhD degree in synthetic or molecular biology, microbiology, biotechnology or related fields. Demonstrated research experience in molecular biology, microbial genetics, genetic engineering, or
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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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research articles and present results at scientific meetings. (30%) • Assist in the development of proposals for external funding for research projects. (5%) Requirements • A PhD degree in physics, chemistry