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dissipativity theory. Applicants are expected to have strong skills in mathematical systems theory, linear algebra, and functional analysis, including an understanding of Hilbert spaces and function spaces
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Mathematics Apply for this job See advertisement Job description Position as PhD Research Fellow in Mathematics available at the Department of Mathematics. The start date is flexible, but no later than 1st
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dissipativity theory. Applicants are expected to have strong skills in mathematical systems theory, linear algebra, and functional analysis, including an understanding of Hilbert spaces and function spaces
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mathematics, Earth science, or a related discipline Skills in numerical modelling, programming, and handling large datasets Prior experience in machine learning is desirable Interest in nonlinear dynamics and
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, probabilistic graphical models, physics/dynamical systems. Qualifications: The candidate is expected to hold (or be about to complete) a relevant PhD degree in Computer Science, Artificial Intelligence or another
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dynamics. You should have: A background in physics, applied mathematics, Earth science, or a related discipline Skills in numerical modelling, programming, and handling large datasets Interest in nonlinear
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0255 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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. The template for the proposal to be submitted is available at this link: https://fapesp.br/14197/roteiro-sugerido-para-formatacao-do-projeto-de-pesquisa-bolsas-no-pais-de-pos-doutorado • Candidate's Curriculum
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About us University College London (UCL) UCL is a multi-disciplinary university with a population of over 13,000 staff and 42,000 students from 150 different countries. Degree programmes