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. You will be taught a range of skills to complement, drive and strengthen your research: life-cycle analysis, techno-economic analysis, digital and business skills, ethics etc. You will also undertake
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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studied using MDA-MB-231 and MCF-7 breast cancer cells, and a normal breast cell line MCF-10A. Cell viability assays, colony formation, and flow cytometry analysis will be used to assess the anti-cancer
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scenarios as typically encountered by UK mountain rescue teams and apply innovative biomechanical analysis using Bournemouth University ’s in-vivo 3D motion tracking technology to determine residual motion of
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sensing, geophysics or sediment analysis. It is not expected that the student will have skills in all these areas, but some experience of at least one would be preferable. Support: The project is being
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languages such as Python for data analysis and simulations. Experience with optical systems, astronomical observations, or satellite tracking would be advantageous, although not compulsory. Strong analytical
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further explore the emission reduction potential within the UK’s urban transport sector, considering the effects of supply chains. We highly appreciate comparative analysis in other cities (e.g., Beijing
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit
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developing their multi-disciplinary research skills in systematic reviews, metabolomic analysis of food products and conducting human volunteer physiological trials. The collaboration involves a project