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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
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(transcript of records), a copy of your Master thesis (or a draft thereof), published articles or other relevant material such as letter(s) of recommendation (if applicable). Our Offer: We work on the very
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a Research Infrastructure? No Offer Description identification of linear and potentially nonlinear relationships between indicators of loneliness and social isolation and health, social, and economic
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the goal of integrating advanced modeling and simulation tools with state-of-the-art wind tunnel testing. The MAC will advance the reliability and complexity of simulations, extend and validate physics
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that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as its mission
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as