51 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Cornell University in United States
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collaborative Research Associate with expertise in digital agriculture, applied machine learning, and interdisciplinary research. The successful candidate will collaborate closely with Dr. Miel Hostens, Associate
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interdisciplinary research. The successful candidate will collaborate closely with Dr. Miel Hostens, Associate Professor of Digital Dairy Management and Data Analytics. This position bridges advanced research and
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information, go to: https://www.vet.cornell.edu/departments/clinical-sciences/employment - opportunities or contact Dr. Gillian Perkins, Chair of the Search Committee at gap7@cornell.edu. The salary range
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Postdoctoral Associate– Dairy Science and Veterinary Medicine Postdoctoral Associate – Dairy Science and Veterinary Medicine Dr. Matthias Wieland’s Laboratory Department of Population Medicine and
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UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description Postdoctoral Associate – Dairy Science and Veterinary Medicine Dr. Matthias Wieland’s Laboratory
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for Atmospheric Research (NCAR) and the National Oceanic, Atmospheric Administration (NOAA). The position emphasizes both technical innovation and research program development, connecting fundamental climate
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renowned professionals direct twelve world-class, mission-driven programs. The Center for Avian Population Studies (CAPS) is one of the major programmatic units at the Lab, collecting and disseminating
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing
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of Agriculture and Life Sciences (https://cals.cornell.edu ) at Cornell University with our collective expertise in the environmental and social sciences and a strong program of transdisciplinary, engaged
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing