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to study hypotheses Validate models via targeted simulation, sensitivity analysis and exploration Apply methods to problems in geosciences, in particular bio-/geochemical cycles Your qualifications: A
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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 2 days ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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to guideline analysis, the construction of simulated trials, and the feasibility assessment in French databases (SNDS, CONSTANCES, EDS-APHP). Activities : Contribute to the design of simulated trials (target
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the coastal region are largely unknown. SHORE aims to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and
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surrogate models that approximate complex physical and biological systems traditionally modeled by PDEs or other computationally expensive simulations. By incorporating physical priors such as conservation
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application. This statement should include three short sections: (a) list of simulation codes used (b) your top three publications (c) previous experience in battery or energy materials modelling. Please do not
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine