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will be based on simulated and real data collected from beamline experiments and will require collaboration with specialists in physics, optics, and instrumentation. The position involves both
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Design Space Exploration for Next-Generation Computing Systems. This position in fixed-term contact is based at Nano-Innov (CEA Paris-Saclay), Essonne (91). This position is available as soon as possible
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developed by our team [1,2] are able to: 1) identify exploitable vulnerabilities at the software level based on these interactions between a software and a microarchitecture, or 2) formally prove the security
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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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genes each with 300 to 3k base pairs. To interpret experimental results, it is necessary to simulate several million experiments for each gene with a model having about ten free parameters (>100Mh with
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With the increasing complexity of numerical simulation codes, new approaches are required to analyze the ever-growing amount of data. This requires coupling up-to-date data analysis libraries with
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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of supercomputing libraries for supercomputers. The position is located at Maison de la Simulation team (https://mdls.fr), in Saclay (near Paris), but our team is distributed in the following other locations: Inria
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, you will be a member of a team of 8 to 10 energy system modelers. You will contribute to the development, maintenance and use of our linear programming-based dispatch and unit commitment model of the EU
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to the Institute. One of the challenges will be to establish academic partnerships that will enable the projects to be carried out successfully, particularly the experimental aspects. The job position will be based