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of the fabricated samples. Research will be conducted in collaboration with PhD students and members of the Orsay group, using the expertise and manufacturing capabilities of the LPS as well as the neighbouring C2N
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out and the cases of high automation studied previously constitute the raw material: several Michelin, Schneider, and Decathlon sites. Other sites may eventually be added to this initial panel
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systems. NumPEx aims to support the Computational Scientific and Engineering (CSE) community in leveraging the capabilities and potential of these new architectures through expanded and reusable exascale
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods