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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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30 PhD and post-doctoral fellows, and a large number of master’s students. About the PhD project: The goal of the project is to develop a simulation tool that, based on meterological and map data, can
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oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor prognosis, and this clinic
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writing. Responsibilities will include: Conduct advanced multivariable statistical analyses of large-scale population-based data using SPSS Complex Samples and Mplus Draft and lead the submission process
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To work with Strathclyde Business School and National Manufacturing Institute Scotland (NMIS) colleagues to conduct research into digital transformation, develop case studies, support a large-scale
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Rankings by Subject. The Department of Learning and Leadership (DLL) is a large specialist research and teaching department of approximately 110 academic staff. The department is a major world leader in
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longitudinal aging study, the Betula Project, as well as the UK Biobank. The candidate will handle, process, and statistically analyze large amounts of data on blood markers, cognitive tests, and health and
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technologies into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word
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dynamic academic health center and entry into the Big 12 Conference, UC?s momentum has never been stronger. UC?s annual budget stands at $1.85 billion, and its endowment totals $2 billion. UC is a mission