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Experience with Fortran, Python and Linux Shell Experience working with large datasets Preferred but not essential: Knowledge of wind farm parameterizations in mesoscale models Experience in the field of wave
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modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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, validate, and refine high-fidelity 3D models of blood flow and vessel geometry using industry-standard CFD software. Analyze simulation results to provide actionable recommendations for design improvements
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deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug
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Mandarin); and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, and state-of-the-art statistical and epidemiological models
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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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Europe | 11 days ago
, Electrical Engineering, Computer Science, and other relevant areas Skills/Qualifications:Applicants must be proficient in English language.Students currently in the final year of a Master’s degree are
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altitude could modify the optical or physical properties of cirrus, but we are currently limited by a lack of observational data. This project will fill that gap, using existing aircraft and satellite
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 17 hours ago
We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by using stem cell models and genomic approaches. Preferred qualifications: D. in