6 computer-simulation-"Data-driven-Materials-Modeling" Postdoctoral positions at SciLifeLab
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/ Postdoctoral position in simulation-based inference for particle physics Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of
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group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification in large pre-trained models (vision-language models), generative models (flow
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, binding, and dynamical structure. We combine high-throughput measurements of molecular binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level
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, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven methods and AI
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description Quantitative analysis of lipid nanoparticles (LNPs) using Cryo EM is challenging due to heterogenous samples, lack of training data and sample variability. In this project we aim to develop AI
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