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urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments. The doctoral student will work on the design and implementation
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the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. Hydrodynamic and Fluid Structure Interaction Modeling Perform Hydrodynamic simulations
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University of California, Los Angeles | Los Angeles, California | United States | about 22 hours ago
validating atmospheric modeling simulations with ground-based measurements Project management experience Ability to work independently and as part of a team Experience in writing grants, acquiring funding, and
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lab at Harvard Medical School in Boston, Massachusetts. The Brugge lab has identified populations of breast epithelial cells that carry chromosome copy number alterations (CNAs) that are among the most
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to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-156/Candidater.aspx Requirements Research
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full-wave simulations and characterize the relevant metamaterial structures. Extend existing analytical tools and numerical models. Prepare and publish scientific articles and reports and co-supervise
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analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other
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approaches, and performing coarse-graining to obtain effective models at various scales. Special Instructions Contact Information Jason Eldridge https://www.physics.harvard.edu/ Harvard Physics Department 17
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building demonstrators · Knowledge of Comsol multiphysics software for finite element modeling of the piezoelectric transducer is a plus · Skills in simulation of electronic circuits (LTSpice
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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