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Position Description Position Description The research group of Professor Mikaela Iacobelli in the Department of Mathematics at ETH Zurich invites applications for a two-year postdoctoral position
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, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure for streamed data that enhance contemporary generative and large
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Systems and Hardware Security The Computer Security Group is a research group in
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
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Position Description Occupational Summary: The Critical Minerals Hub at Duke invites applications for a full-time postdoctoral associate to conduct cutting-edge research in critical minerals
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional