178 distributed-computing-"https:"-"Washington-University-in-St" Postdoctoral positions
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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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, by the measurement of Earth’s oblateness in 1958. Measuring the gravity field reveals Earth’s state of mass distribution and its dynamics. It also provides the geoid as a reference for sea level
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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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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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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infrastructure operations, we aim to improve Internet Protocol performance, and to develop new protocols, in addition to deploying those outcomes. Potential research areas include: Computer Networks, Distributed
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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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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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