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. • Familiarity with BMS development or experience with other complex control systems such as motor drives, power converters, or real-time embedded controllers. • Practical experience in system modelling and
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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: identifying which social interactions are most meaningful in tackling poverty, isolation and mental health. Social Capital: looking at the benefits derived from networks and relationships. This ambitious
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analysing the outputs of hydrodynamical simulations of clusters of galaxies to trace the build-up of mass through the cosmic network as clusters grow by mergers or smooth accretion of matter along filaments
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levels of poor health, and unequal health and care outcomes. We particularly need to improve care for children with disabilities, complex needs and who face a range of challenges in their lives. This role
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in using Computational Fluid Dynamics (CFD). Experience simulating complex fluid dynamics processes, preferably multiphase reactive flows, using and especially customising CFD software is an essential
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this project. The post will include the following duties: To undertake research, to act as research team leader and to routinely communicate complex and conceptual ideas. About you The successful applicant will
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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particularly need to improve care for children with disabilities, complex needs and who face a range of challenges in their lives. This role involves using CPRD data to describe how common multi morbidity is in
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives