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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
PhD project dedicated to advancing carbon capture technology. The core objective of your research will be to probe the electronic interactions between carbon dioxide (CO₂) and amine-based materials—key
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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31 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Physics Technology Researcher Profile First Stage
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. The PhD student will be in charge of analyzing the full data set in order to finalize the background model, study the two-neutrino double-beta decay of 82-Se, and search for neutrinoless modes. Where
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together the expertise of 80 people, including nearly 50 CNRS researchers, academic researchers, engineers, and technical staff, as well as around 30 doctoral and post-doctoral researchers. The scientific
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30 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Physics Technology Researcher Profile First Stage
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
with language models (e.g., ChatGPT). More recently, AI has begun to be applied to scientific and engineering problems. Its goal is to create an "augmented engineer" who can carry out studies and make
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neuroscience, neurophysiology and data analysis. Profile: Master’s degree in neuroscience, psychology, cognitive science, engineering or a related field, with a strong interest in experimental research and data