39 parallel-computing-numerical-methods-"Simons-Foundation" positions at Swansea University
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for the leadership and management of the EPSRC programme grant: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations (REMODEL). The REMODEL project
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job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number RS898 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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methodologies, from observational to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number RS898 Is the Job related to staff position within a Research Infrastructure? No Offer Description Infrared
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Framework Programme? Not funded by a EU programme Reference Number RS898 Is the Job related to staff position within a Research Infrastructure? No Offer Description This pathway will leverage excellent
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to computational and population-level modelling. Such projects and associated methods are made possible through the linkage of administrative and health data, increasing demand for suitably qualified doctoral
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postgraduate training. Training is provided through a coordinated programme of standalone and residential modules in quantitative and qualitative social science methods, and science communication and a cohort
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description he Global Language Based Area Studies/Politics
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Management and Business pathway focusses
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on delivering innovative data science solutions for medicines management. This 4-year Programme will develop and apply statistical methods using large linked electronic health records to identify adverse drug