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, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate
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, machine learning, control theory, or stochastic modeling. Crucially, the ideal candidate must have a proven track record of viewing civil infrastructure through a holistic, interconnected “system of systems
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world models with generative AI and theory-informed neural networks. Job Responsibilities: Conducting theoretical and empirical studies on economic world models, with a strong emphasis on critical finance
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understand our world. Does this sound like you? Then join our accomplished team! Your working area: The Oskar Morgenstern Doctoral School (OMDS) (https://oskar-morgenstern-doctoral-school.univie.ac.at
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better understand our world. Does this sound like you? Then join our accomplished team! Your working area: The Oskar Morgenstern Doctoral School (OMDS) (https://oskar-morgenstern-doctoral
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and computer science. Qualifications Required Qualifications: Ph.D. degree in physics or a related discipline. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and
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support researchers in constructing robust behavioural models without replacing scientific judgement. The emphasis is on interpretable AI processes that complements econometric theory and domain expertise
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. Working with families. Posting Dates: September 14 - 25, 2026 Application Deadline: September 25, 2026; 11:59 p.m. CL Credits: 3 (This course is not team-taught) Number of Positions Available: 1 Term: Fall
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, computer science or a related area. You should have expertise in combinatorial optimization and graph theory as well as good programming skills. A further requirement is the ability to perform research independently
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 12 hours ago
Posting Details Position Information Position Number 1667 Functional Title Assistant Professor of Media Studies Position Type Administration - Faculty Position Eclass FC - Faculty 9 month Non Leave