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Field
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, the deadliest malaria parasite species. Within UniGEM, the postdoc will be responsible for the simulation of synthetic data used to train, develop, and test the neural network. Scientific context: Malaria
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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stochastic accumulation. The position will be jointly mentored by Dr. Tim Pleskac and Dr. Jerome Busemeyer, with the postdoc taking a leading role in theory development, computational modeling, and
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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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convective hazards. The model development will be aided by synthesizing observational data and high-resolution numerical simulations to gain new conceptual insights on cloud life cycles. Potential
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particular focus on transferability across heterogeneous energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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project The Chair of Numerical Modelling and Simulation at EPFL is dedicated to the design and analysis of numerical algorithms for partial differential equations. Our research is oriented towards
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together