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Field
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Associate I position seeks scientists ready to pursue an ambitious program of research in astronomy or astrophysics (0.5 FTE) and in supporting service operations (0.25 FTE) of Steward Observatory
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purpose of this position is to conduct research in the field of model reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust
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Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
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Phenomenology. Members of the group with interest in this area include Professor Ben Allanach and Professor Maria Ubiali. Duties will include developing and conducting individual and collaborative research
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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/ec-postdoc-programme/evolution-of-scots-pine-forests-since-the-last-glacial-maximum/ 2. Molecular innovation to explore genome function and host-parasite interactions in Schistosoma mansoni https
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the developing Rutgers Sexual and Gender Minority Institute (RU-LGBTQ) has an exciting opportunity for a postdoctoral associate. This is 1-year appointment with a start date no sooner that March 1, 2026 and
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programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 18 hours ago
, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students, postgraduates, and faculty to participate in programs, projects, and activities at the Department. Fellows will
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding