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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
by the diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Our mission is to improve the health and well-being
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innovation. The KTP Associate is expected to work both at Aforce London Ltd. premises and at Imperial College London South Kensington Campus.” The core mission of this KTP project is to develop a novel
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. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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culture, fluorescence microscopy, quantitative image analysis, biochemical assays, and molecular biology techniques is strongly preferred. Experience with advanced light microscopy, automated imaging, drug
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mentored by Drs. Noele Nelson, Corinna Noel, and Alistair Hayden, who will support the development of independent, grant-funded research aligned with the lab's mission. This position will be based in Ithaca
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fields. Experience with genetically engineered mouse models and Next Generation Sequencing data analysis will be desirable but not required. Individuals will benefit from trainings in orthotopic lung
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excellence and advancing the mission of both the College and the University. The InfoGraphics Lab is a hybrid research and practice center within the College of Arts and Sciences that for 35 years has been a
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in1975, the Department of Ecology and Evolutionary Biology (EEB) at the University of Arizona is a pioneering leader in the study of biological diversity. Guided by a mission to discover and teach
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations