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website: https://profiles.mountsinai.org/louai-labanieh This position is covered by a collective bargaining agreement between the ISMMS and the Sinai Postdoctoral Organizing Committee - UAW. Wages and
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, theoretical statistics, or related fields. Applicants should have a solid background in probability and statistics/machine learning. The postdoctoral fellow will be mentored by Alexander Rakhlin (MIT). We will
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.) and computational expertise for advanced data analysis (machine learning, etc.). Faculty are expected to develop their own program of research (including seeking extramural funding), actively
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, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
, biomathematics, financial mathematics, numerical methods, mathematical modelling, differential equations, game theory, machine learning Deadline for submitting applications: 20 February 2026 Required documents All
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming
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machine learning methods is required. You are expected to have a proven track record of publishing scientific results in peer-reviewed journals. What we offer As well as the exciting opportunities this role
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, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following tasks: You will work together
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possible for up to 1 day/week. You will join an interdisciplinary team of researchers spanning imaging science, machine learning, genetics, and population health, working closely with collaborators