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You will be working in a larger research and development project in parallel, distributed and heterogeneous computing. The project work can, under certain circumstances, be combined with an internal
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arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant
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Data Management and Network/Computing ContinuumCloud computing has significantly increased the volume of data consumed daily, but it has also centralized somehow the storage of data. With
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for the quality of its medical expertise, facilities and teaching. The Neuroscience and the Mental Health Program is one of the leading research programs in the medical school. The key objective is to conduct both
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of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be
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volcanic environments. Development and flight testing will run in parallel with field campaigns at three key volcanic sites: Soufrière Hills Volcano (Montserrat), Fuego (Guatemala), and Lascar (Chile
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. It will involve the use of open-source computational fluid dynamics (CFD) codes, turbulence modelling and the application of different near-wall treatments. It will also require the development of good
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goals which require several different threads of delivery (technology, process improvement, cultural change and capability development) to work together in parallel and within a very tight timescale. The
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) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
-Saclay and Université Versailles Saint-Quentin. It specializes in high performance computing and numerical simulations in close connection with physical applications, parallel software engineering