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Field
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Hospital, where in vivo acquisitions are performed. Work will be distributed between both sites depending on project needs. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7587-PEDBAR-009
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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with developing distributed programs on high-performance computing systems. Experience in data assimilation and machine learning. A track record of publications in well recognized journals. Special
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, or deployment at scale. A proven track record of high-quality research contributions published in top-tier machine learning conferences or journals. Proficiency in high-performance computing, distributed and
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/transformative innovation in the sector. Our vision is to become an “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge
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of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative and computational skills interested in foundational research exploring
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through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no/arcticmsca
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Programme? Horizon Europe - EIC Reference Number 101161137 Is the Job related to staff position within a Research Infrastructure? No Offer Description In the framework of the development of barocaloric
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of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
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Sciences. Teaching is conducted in electrical engineering, signal processing, control engineering, mathematics, physics and chemistry. The Master of Science in Marine Engineering program is within