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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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diverse cellular models. Experimental data will be integrated with fluid simulations to enable predictive and iterative modelling. Training and Environment The student will join a supportive
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NSF-funded project on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices
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apart. A degree in Chemistry, Biochemistry, Pharmacology, or a related field (or equivalent experience). Demonstrated experience in molecular modelling, simulations, and applying AI/ML techniques
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computación y comunicaciones. 4-Diseño y validación de casos de uso de co-simulación híbrida de tiempo real. 1-Design and development of a modeling, simulation, and optimization framework based on DEVS. 2
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and validate climate-thermal models, as well as assisting with simulations of targeted high-risk zones for heat adaptation interventions within SCH. Developing the preliminary Heat Vulnerability Index
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experiments, behavioral research, econometric and causal inference approaches, optimization and analytical modeling, and data-driven techniques such as machine learning and large language models. Our work is
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Management Science, Information Systems Research, and MIS Quarterly. We seek applicants with a strong quantitative background, such as analytical modeling, econometrics, and/or machine learning, and a