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analytical and/or computational facilities. The successful applicant will develop an active and outstanding externally funded research program, advise student and postdoc research, and teach classes
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, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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| Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: 14.09.2032 Job ID: 6013 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of
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accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences while offering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
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Design and build flow setups using 3D printer, pumps, valves operated by a computer and the corresponding software. Develop flow cells to connect various spectroscopic tools to the setup. Create and
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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Skills: • Prior experience in quantum information, quantum computing, machine learning. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents: • Personal CV
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of translating our insights into actionable strategies for pediatric care. Our work combines statistical and mechanistic mathematical modeling, causal inference, and machine learning, applied to longitudinal multi
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modeling and probabilistic machine learning, tackling problems that arise in molecular systems and heterogeneous materials. Eine Postdoktorandenstelle im Bereich physik-informiertes generatives Modellieren