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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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Experience in machine learning, math, and programming. LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers available1Company/InstituteUniverCountryBrazilState
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, United States of America [map ] Subject Area: Physics / Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/10, listed until 2026/03/10) Position Description: Apply Position Description The William H
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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specimens. The postdoc will contribute to the development of hybrid modeling and identification approaches that combine classical constitutive frameworks, numerical simulation, and machine learning. The work
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data from a recently completed clinical trial (https://www.nejm.org/doi/full/10.1056/NEJMoa2408114 ), you will build and evaluate multimodal machine learning models that integrate these data to predict
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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to align learning communities with regional and national strategies. Work closely with other postdocs to ensure alignment across research work packages. Contribute to the vibrant research ecosystem within