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control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance the safety and robustness of human-robot interaction. The successful applicant will engage
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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have the opportunity to work on projects such as investigating multicellular organization in curved geometries, exploring the rheology of multilayered epidermal organoids, and designing amorphous
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coil patterns and core geometries, to reduce coil loss in HPMCs You will also contribute to teaching and supervising BSc and MSc student projects, and be co-supervisor for PhD students. Anyone who: has a
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reconstruction algorithms that incorporate multiply-beam coherent scattering imaging in a grazing incidence geometry to improve the spatial resolution to ultimately demonstrate the utility of the novel coherent
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geometry manipulation with computer-aided design software. Experience with coupling CFD and FEA codes. Knowledge of multi-dimensional code development (in C++/C/Fortran) for two-phase/multiphase flow and
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combustion engines. Experience with CONVERGE CFD software. Experience in geometry manipulation with computer-aided design software. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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on application to industrial processes. The candidate will conduct CFD simulation for addressing complex single and multiphase reacting flows in complex geometries. Research and development activities will include
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parts with complex geometries for turbomachinery used in land-based power generation. However, the deployment of L-PBF turbine components is inhibited by an insufficient understanding
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Mathematical Physics in the last 40 years. Researchers in this area will be expected to have knowledge of the aspects of Quantum Groups associated to Representation Theory, Tensor Categories, Poisson Geometry