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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 11 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09839 Requirements Skills/Qualifications Strong mathematical background. Knowledge in numerical optimization is a plus. Good programming skills in
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is the radiative cavity surrounding the emitter. This cavity controls how thermal radiation is exchanged between the emitter and the photovoltaic cells, influencing the spatial distribution
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climate is hampered by four important uncertainties: their i) spatial distribution, ii) chronology, iii) dynamics and iv) composition (ice purity and depth to ice). Spatial Distribution. Our pilot work
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 3 days ago
links to the group of Motomu Tanaka (Physical Chemistry), Thomas Holstein (COS) and others. Selection process Please submit your application through the HBIGS application system: https://www.hbigs.uni
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Location: South Kensington, London About the role: We are recruiting a postgraduate researcher to undertake a PhD project on the technology and protection of multi-terminal MVDC distribution systems
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networks, distributed systems, or cloud/edge computing. You have at least basic programming skills (e.g., Python, C/C++, or similar). You have good analytical and problem-solving abilities. You have
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23 Mar 2026 Job Information Organisation/Company Slovak University of Agriculture in Nitra Department Institute of Economic Policy and Finance Research Field Economics Researcher Profile First Stage
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is promising, but delivers very local measurement only. Therefore, it would be interesting to combine these local measurements with distributed measurements of fluxes that can reveal variations in
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for next-generation (6G) communication systems. The project focuses on integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in