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Field
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learning, optimization, mathematical foundations of artificial intelligence, mathematical ecology and mathematical statistics. Qualifications To qualify as a postdoctoral scholarship holder, the postdoctoral
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neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications. A strong background in theory (e.g
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–experiment (ModEx) approach accelerated by artificial intelligence (AI) to advance predictive understanding of how plant–microbial–soil interactions vary across inundation and salinity gradients to shape
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ARIADNE – an interdisciplinary research project developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will lead a project to
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, including prediabetes, type 1 and 2 diabetes, and non-alcoholic fatty liver disease (NAFLD). Their research informs artificial pancreas algorithms and contributes to drug development targeting hepatic
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Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence
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beginning in fall 2026, preferably with an interest or focus on statistical foundations of data science, artificial intelligence and machine learning, theoretical statistics and probability, uncertainty
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; plasmas encountered in planetary magnetospheres; the solar wind and artificially generated charges and fields on spacecraft; micro-meteoroids and non trackable debris; planetary and lunar dust; and
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Commission–funded project focused on the design, development, and implementation of an innovative executive education program at the intersection of Artificial Intelligence, Energy Systems, and
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learning and artificial intelligence (AI) approaches for crop management, yield prediction, and decision-support systems. Additional responsibilities include preparing manuscripts for publication in peer