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engineering Researcher Profile Recognised Researcher (R2) Application Deadline 9 Feb 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
Voluceau - Rocquencourt Postal Code 78153 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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meshes while maintaining low computational cost and high accuracy. Activity 1: Software development (in C++) within the NICE code. Activity 2: Application of adaptive mesh‑refinement methods. Activity 3
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/Qualifications Technical skills in geotechnics, soil mechanics, civil engineering, geology, hydrogeology; Independence, initiative, ability to work in a multidisciplinary team; Good interpersonal skills; Rigorous
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the IC2MP for a period of 24 months, the candidate will be responsible for: - conducting technology watch for the project. (Bibliographic report due in the first quarter); - Performing electrochemical
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international environment, and actively shape interdisciplinary theory on sustainable transformations and well-being. The successful candidate will join the Institute for Lifespan Development, Family and Culture
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-knowledge proofs, secure computation, post-quantum cryptography, the theoretical foundations of cryptography, and its connections with complexity theory. - Research within the Algorithms & Complexity group
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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measurement platform capable of quantifying more than one hundred cytokines in biofluids, providing a cost-effective, robust and scalable alternative to current cytokine assays with clear translational