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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
an experience in computer networks. Theoretical expertise: distributed systems, P2P networks Good collaborative and networking skills, excellent written and oral communication in English Good programming skills
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Engineering Computer Engineering Physics Mechatronics Information Engineering or a related field. Ideally, you have experience in several of the following areas: Electronic circuit or measurement system
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27 Jul 2026 Job Information Organisation/Company IDAEA-CSIC Research Field Physics » Surface physics Physics » Computational physics Engineering » Computer engineering Researcher Profile First Stage
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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for prevention. A primary focus will be evaluating the impact of vaccination protocols on infectious outcomes, assessing vaccination coverage, and estimating vaccine effectiveness. Potential Focus Areas
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care and clinical nutrition? Are you motivated to advance diagnostic approaches for accurately estimating individual metabolic demands in critically ill patients using innovative analytical methods? We
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Title: Beyond the Ball: A Modular Physics Sandbox for Investigating Aerodynamic and Projectile Modelling, Vehicle Dynamics and Adaptive Networking. PhD Studentship: R-LINCS2 funded. The Studentship is
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-clinical datasets; and investigating fairness, privacy, uncertainty estimation and explainability so that predictions are reliable and used as decision-support rather than automated diagnosis. The student
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PhD position on quantum error correction for photonics. Job description As part of a new European Marie Curie Doctoral Training Network focused on quantum error correction and fault tolerance