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for Accelerator Based Sciences), we will benefit from a ML toolkit, developed by GSI (Germany). This toolkit, originally conceived for conventional accelerators, will be adapted to the specificities of LPA and
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about science and novel technologies. You are preparing a Bac+4 or Bac+5 diploma in the field of computer science or alike. You have knowledge of AI, programming languages, embedded systems, simulation
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enrolled in a Master 2 or equivalent engineering school in environmental sciences, hydrogeology or geochemistry, you should have a keen interest in modeling and data processing. Practical skills in reactive
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Dutta, Kaixin Yang, and Pierluigi Nuzzo. "ReIGNN: State register identification using graph neural networks for circuit reverse engineering." ICCAD, 2021. [4] Lattner, Chris, et al. "MLIR: Scaling
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. The PhD student will also have to train in nanofabrication techniques at the PTA (Upstream Technology Platform) for the realization of the test devices to measure spin-orbit couples (SPINTEC). Different
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Category Chemistry Contract Postdoc Job title Post-doc in homogeneous catalysis and synthetic methodologies H/F Subject Photocatalytic deoxygenation of sulfoxides Contract duration (months) 12 Job
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Domaine Mathématiques, information scientifique, logiciel Contrat Stage Intitulé de l'offre Developping an IDE for writing pattern-based and formal requirements H/F Sujet de stage The objective of this project is to develop an interactive editor and associated library for writing safety...
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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. This power analysis is necessary early on in the RTL (Register Transfer Level) coding stage when...