746 systems-science "https:" "https:" "https:" "https:" "UNIV" uni jobs at Cornell University
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-track faculty position at the Assistant Professor level in the College of Arts and Sciences. A Ph.D. is required. We welcome candidates whose expertise centers on investigating cell and molecular biology
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Located in Ithaca, N.Y., Cornell University is a bold, innovative, inclusive, and dynamic teaching and research university where staff, faculty, and students alike are challenged to make an enduring
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Sciences (CALS), housed on the Ithaca campus of Cornell University. The Cornell Lab of Ornithology is the world’s leading public-facing science institute dedicated to the study and conservation of birds
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basis the store clerk will inspect the store for cleanliness, organization and refill supplies as needed. This position will also open and close the store, and act in the capacity of cashier, store clerk
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, while orchestrating enhancements to existing applications Engineer robust data intake frameworks utilizing advanced form-building systems and API integrations Design and execute comprehensive data
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/Center) in the Division of Nutritional Sciences (DNS) and College of Human Ecology, is a multi-disciplinary center that integrates novel approaches in precision nutrition, artificial intelligence (AI), and
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? If you're eager to make an impact and be part of a dynamic team, then we invite you to explore this exciting opportunity with us! About The Department The College of Agriculture and Life Sciences (CALS) is a
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. Location: Ithaca, NY. The academic home for this position is the Department of Animal Science in the College of Agriculture and Life Sciences, housed on the Ithaca campus of Cornell University
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of the molecular work to be performed Evidence of expertise in molecular biology, biochemistry, and microscopy A flexible work schedule is critical as there will be occasions when the technician will need to work
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materials by bringing together computer scientists, materials researchers, and data scientists to tackle knowledge- and data-centric challenges at the intersection of AI and materials science. In this AI-MI