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characterization techniques. The second phase will be dedicated to the development of a Multiphysics numerical model, validated and informed by experimental data, to simulate the WAAM process. Strong
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studies with a very good or excellent final degree and a master's thesis in condensed matter theory or a closely related discipline. Experience with models and analytical or numerical methods/theories
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and extend existing numerical codes to simulate these phenomena. Some experiments and modelling will be done in collaboration with other PhD students in the GRAIL project. Your tasks: • Simulate
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aims to develop computational models to support the optimisation of plasma atomic layer deposition equipment. The PhD student will undertake numerical simulation, optimisation studies, and explore
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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. Integrating numerical models tailored to Southern Norway and Greenland with existing datasets to investigate how their landscapes have formed. Presentation of results at international conferences. Publication
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. The project will also delve into generation and integration of synthetic data, via deployment of numerical simulations with existing advanced calibrated multiphysics models, with real data acquired through
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this, the CHAIN-H2 project will combine experimental and numerical studies covering small-scale kinetics through to modelling of the larger-scale characteristics of flame inhibition (flame propagation in a cloud of
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mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and