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The successful candidate will be responsible for: 1. Develop the numerical and analytical tools required to design these tunable random architectures and predict the mechanical behavior
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liquids stand at the forefront of condensed matter physics. By joining our team at École Polytechnique, you will be at the heart of these discoveries, developing a next-generation thermal transport
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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to preserve the internal charge and handle the output signal of the RE (buffering function, polarity and gain adjustment). More precisely, a new embedded analog system will be developed, tested and evaluated
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wishes to develop work involving behavioural/experimental economics, in collaboration with energy economists. To this end, we are looking for a research associate who can help to drive forward this new