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Location: West Cambridge, Cambridgeshire, UK One Fellowship exists for a Research Assistant in the Department of Engineering's Whittle Laboratory on the West Cambridge site (Cambridge, UK), to work on the Aviation Impact Accelerator project led by Professor Rob Miller. Climate neutral aviation...
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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in a dynamic and collaborative team. In collaboration with the Edinburgh Parallel Computing Centre (EPCC) and our industry partners, the focus of the role is the development of a new solver for
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frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience in scalable data processing, including the use of parallel computing, cloud platforms, and distributed systems for efficient
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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methane exchange in upland trees drawing on information derived from parallel field studies spanning a rainfall gradient in Ghana (and elsewhere) and modify empirical models of tree methane exchange
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programme of research into rural mental health inequality. Led by the University of Worcester, the programme will be delivered in collaboration with colleagues at the Institute for Mental Health, University
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Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute to dementia-related research, specifically focusing on the care
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) section. The role involves working 50/50 across two projects: the NIHR funded Target Trials in Mental Health programme and Eli Lilly funded “Advancing the Methodologies Used to Incorporate Non-randomised