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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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research with both industry and academic partners, with a willingness to work in new technical areas related to the programme and parallel projects. Prior direct experience of successful PhD student co
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fluctuation power spectrum, building upon existing theoretical and computational frameworks. Position 2 – Commander4: Massively parallel joint Bayesian end-to-end analysis of past, present and future CMB