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, applications of machine learning to particle phenomenology, and lattice QCD, both within the Standard Model and beyond. The particle physics phenomenology group members are: J. F. Kamenik (head), B. Bajc, S
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://www.academictransfer.com/en/jobs/357668/postdoc-position-in-synthetic-c… Requirements Specific Requirements You are an enthusiastic researcher who is eager to learn new techniques, does not shy away from challenges and
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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immunostaining of cells and tissues, and develops various tools for bioimage analysis, mostly using machine learning and AI-based models. As a postdoc you will conduct research using various methods in cell-and
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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differences in learning, memory, and processing between these systems. This project develops the necessary methods to study how smart AI-models are compared to people, now and in the future, and sheds light on
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Position in Multiphoton Intravital Imaging
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Cornell University, School of Chemical and Biomolecular Engineering Position ID: Cornell-ChemE-POSTDOC [#30598, WDR-00055411] Position Title: Position Type: Postdoctoral Position Location: Ithaca
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University of California, San Francisco | San Francisco, California | United States | about 18 hours ago
supervises a team of 3+ direct reports and temporary support employees, and works with 160+ employees department (Organized Research Unit – ORU), which includes faculty, postdocs, affiliates (including
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated