444 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute"-"O" Postdoctoral positions in United States
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines
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initiatives We neither expect nor require expertise across all areas above. Still, we particularly value interdisciplinary thinkers who can bridge multiple domains. Strong programming skills and experience with
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Nephrology. Please explore our website to learn more about our state-of-the-art clinical, educational and research programs, and distinguished faculty members. (https://medschool.cuanschutz.edu/renal ) Dr
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group 3. Develops an Individual Development Plan (IDP) in collaboration with faculty mentor 4. Generates revenue by securing grants and participates in departmental and institutional career development
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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research across multiple departments at MIT. The appointment is for one year starting Summer 2026 (flexible start date), with the possibility of renewal for a second year. The Postdoctoral Associate should
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Postdoctoral Researcher to join the NSF-funded SCHOLAR project, part of the Smart and Connected Communities (SCC) Program. This interdisciplinary initiative, in collaboration with Sinai Health, aims to empower
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experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication record with publications in
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, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral communication skills. Preferred Qualifications: Strong publication record with publications in
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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more