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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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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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, 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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We are looking for a Research Fellow to join the Department of Aeronautics and Astronautics at the University of Southampton, UK. You will be working under the supervision of Prof. Andrea Da Ronch
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Units (GPUs) have become pervasive computing devices. They are massively parallel machines that provide a cost-effective solution for high-performance computing applications. Their application in discrete
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in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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Ageing Research (https://metacoglab.org ). About the role This post is funded by a UKRI Frontier Research (ERC Consolidator) Award entitled “Computational components of conscious awareness” held by Prof
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Programme? Not funded by a EU programme Reference Number DR/023/25 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Theology Research fellow (m/f/d) in
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a parallel program of work under Dr Bradfield’s supervision. Student type Future Students Faculty Faculty of Health Sciences Course type Higher Degree by Research Citizenship Australian Citizen