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to accelerate evaluation of costly simulations Genetic algorithms and other evolutionary techniques to generate a diverse set of high-performing solutions. You will design and implement new optimization
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generations of batteries. Studying phenomena of a very different nature (chemical, structural, morphological) operating on different time and space scales requires combining techniques in a multimodal and
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against fault-injection attacks, your main missions will be: Design and extend our pre-silicon methodology and associated tools to support different secured processors. In particular, leverage
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, - Interest in interdisciplinary work and scientific instrumentation, - Ability to communicate effectively in English, both written and oral, - Willingness to collaborate with researchers from different
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to modelise DNA repairs Test of various algorithms to solve these models Development of an highly efficient code, based on Kokkos, to implement the previous Skills : You have a master and/or an engineering