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of the electrons accelerated in our brand new 100 TW-class experimental facility, in order to irradiate various samples (biological, chemical …) for dosimetry and radiobiology experiments. This ML solution will
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scalable and verifiable secure system engineering technologies that capture, communicate, and act on system complexities in order to improve decision-making in cyber defense while automating cybersecurity
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. The PhD student will have to work in close collaboration with the LETI and SPINTEC teams in order to identify the best protective material to transport the TI samples "in the air" from the LETI sputtering
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Reduced-Order Models) involving Neural Networks. The first objective is to provide a simulation that couples a finite-element beam and another beam whose dynamic behaviour is encoded in a NN. The interest
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technical skills required are: the ability to develop innovative integrated optical and micro-optical systems, to translate a structure into an integration of CMOS technology processes, and to manage complex