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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
20 Dec 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this work is to explore the conversion of phenolic monomers
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) enables computations to be performed directly on encrypted data without knowledge of the deciphering key, offering significant potential for privacy-preserving deep learning. However, conventional neural
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition
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chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Application Deadline 11 Feb 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours
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of the microgrid ii) develop the optimal sizing method for microgrid using programming software like Python or Matlab, implement it for case study areas, and iii) prepare research reports and contribute to project
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6 Mar 2026 Job Information Organisation/Company IFM/Linköping University Research Field Physics » Computational physics Researcher Profile Established Researcher (R3) Application Deadline 30 Mar
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computational skills (e.g., Python, R; simulation or optimization tools) • Experience working with real-world datasets, ideally including clinical, operational, or health-related data • Excellent communication