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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
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 enterprise and towards our
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Stanford Departments and Centers: Environmental Social Sciences Postdoc Appointment Term: 12 months renewable for an additional 2 years based on satisfactory performance and availability of funding
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pursue the use of machine learning techniques for data analysis. Candidates must have a Ph.D. and research experience in experimental high energy physics. The successful candidate is expected to carry out
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foundations to industrial and scientific applications. The project will be conducted at the Machine Learning and Decision Making Lab , which focuses on advancing the theory and practice of machine learning and
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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Method, potential flow theory and Green's function formulations • Conformal mapping, in particular Schwarz–Christoffel transformations • Viscous-inviscid interaction and integral boundary layer
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, ensuring the agent's responses are pedagogically valid, contextually appropriate, and consistent with collaborative learning theory. Scaffolding mechanism design. In close collaboration with the PhD
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The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their
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. The position is dedicated to research. You will have no teaching obligations, but there are opportunities to teach if desired. You will co-supervise thesis projects of BSc. and MSc. students related