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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research topic aims to develop non-invasive, non
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and production of software tools for in silico screening of chemical libraries and rational drug design of molecules for therapeutic purposes. - Contribute to the development of a high-throughput
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the ASTRID ProCoPe project (Collective Processes for Power Components), led by the III-V Lab, which aims to fabricate power components with diamond heat sinks, based on Gallium Nitride (GaN), and to develop
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); - Developing and characterizing the physical, chemical, and electrochemical properties of nickel-based anode nanomaterials for the oxidation of oxygenated organic compounds; - Shaping the anodes and electrolysis
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will be recruited to join the Machine Learning for Integrative genomics team at Institut Pasteur in the context of the ERC Starting Grant MULTI-viewCELL. One position will focus on the development
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to develop a disruptive laser technology to address realworld applications in health science and quantum technology. The basic concept relies on the exploitation of low phonon rare-earth-doped fluoride
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4 Dec 2025 Job Information Organisation/Company CNRS Department Institut Charles Sadron Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 24 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours...
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4 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire Matériaux et Phénomènes Quantiques Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 24 Dec 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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of Research ExperienceNone Additional Information Eligibility criteria - Skills in physical oceanography, ecology and evolution - Modeling of lagrangian trajectories - Plancton ecology - Coding eco-evolutionary
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how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large