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must have advanced training in fundamental physics and/or scientific computing, with an ability to handle massively parallel simulation codes and to contribute to their development. Experience with
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, the PEPR FORESTT is funding half of the thesis (funding already secured), as well as the full cost of missions and analysis fees. It is being carried out in parallel with another proposed thesis
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physical parameters that are otherwise challenging to measure directly. Parallel research on the hygrothermal behavior of biosourced materials (thesis of Mr. ASLI), along with Majd SAOUD's Master's research
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), Dedicated HPC solvers (domain decomposition, parallel/distributed computing), Formulation and solution of optimisation problems (automation, optimal structural design). The developments will follow open
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protein expression and purification, capable of producing thousands of proteins in parallel within weeks . 2) Eukaryotic expression systems facility for production of challenging protein targets. 3) A fully
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on several aspects to explore in parallel: - Develop the experimental set-up to enable Low-Energy SAXS measurements on Attolab’s set-up (through punctual mission (2 or 3 times a year for 1 to 2 weeks
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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will be considered a plus: Data analysis libraries such as Dask Knowledge and experience with Python, Fortran and/or GPU computing HPC and parallel libraries such as OpenMP and MPI HPC parallel IO