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in the lab, working in a collaborative team, and contributing to international collaborations. Starting date. By the 1st October 2024. PhD funding. Thesis funded by Initiatives de Recherche à Grenoble
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PhD thesis: Graph Neural Networks for Predicting Power Consumption in Digital Electronic Architectures Power consumption analysis is an important step in the development of a digital architecture
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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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an asset. Having a PhD thesis related to laser-driven particle acceleration or high-intensity laser-matter interaction would be a plus. Fluency in English (spoken and written) is essential. The candidate
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. 2018, 57, 9744. Requirements Research FieldChemistry » Organic chemistryEducation LevelPhD or equivalent Skills/Qualifications the successful candidate is a skilled organic chemist, holder of a PhD in