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the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind farms using the wind farm simulator using a wide range of hardware (including CPUs and
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strategic capability within the UKERC consortium, overseeing the development of UKERC outputs on electricity markets and policy, undertaking and leading modelling and numerical analysis as appropriate. You
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interviews to assess health behaviours. Experience in a variety of qualitative analysis techniques such as thematic analysis and Interpretative Phenomenological Analysis (IPA), in addition to other mixed
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The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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with qualitative analysis tools and familiarity with basic quantitative analysis. Have the ability to present insights clearly to a range of audiences demonstrating excellent communication skills in both
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officially awarded their PhD will be appointed as Research Assistant. Expertise in geospatial data analysis, including remote sensing Expertise in cloud physics, preferably cirrus clouds Aircraft performance
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to investigate a wide range of questions in the UK and overseas. The group is situated within the MRC Centre for Global Infectious Disease Analysis and the School of Public Health, which is one of the largest
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conduct the planning, organisation, data collection, and analysis of a significant research study in hospitalised patients, including administration and regulatory aspects. You will be expected to spend