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(SEADS) directorate. The SEADS directorate contributes to an exciting portfolio of energy analysis and grid futures studies, applying advanced modeling and simulation tools to optimally plan, design, and
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research in hydrogeophysics, including areas such as field-based geophysical observations, computational modeling, and AI-driven analysis. Essential FunctionsEmpty heading Teach undergraduate and graduate
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University of California Agriculture and Natural Resources | Davis, California | United States | 2 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jan-26 Location: Davis, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned
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in neuroimaging, applied data science and/or machine learning are desirable. Funding & how to apply The scholarship will fund course fees up to the value of home fees*, a tax-free stipend in line with
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students, our community, and our country can become. Visit www.LaGuardia.edu to learn more. Connections working at CUNY La Guardia Community College More Jobs from This Employer https://main.hercjobs.org
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for collaboration. You will also have the opportunity to develop your own research project aligned to the interests of the MND group. This could include new machine learning models or exploring a particular aspect of
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and Coadjutants for the 2025 – 2026 semesters (Fall 25, Winter 26, Spring 26, Summer 26) to teach in various disciplines. The instructor will present course material during the assigned course times
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(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol