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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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the EU Research Framework Programme? Not funded by a EU programme Reference Number COMPETE2030-FEDER-00858000 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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and treat those conditions that afflict them. The Study strives to meet its aims by collecting data directly from players and by supporting innovative research. The research program sits within Harvard
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covering driver–task mismatch rates, fleet health distribution, fatigue heatmaps, and dispatch allocation efficiency Education PhD in industrial engineering, Operations Research, Computer Science, Operations
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Deadline 15 Jul 2026 - 16:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job
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waves Work with measurements on entrained air bubbles, oil droplets and possibly other types of particles, such as ice crystals, and formulate models for size distribution and vertical transport
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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 19 hours ago
: This fellowship is embedded within a multidisciplinary research program at NCTR's Division of Biochemical Toxicology investigating the mechanistic basis of cannabidiol (CBD)-induced male reproductive toxicity in
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Role Description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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Future (MAAIF), the Taught Postgraduate Programme offered by HKCRC and the Department of Philosophy. The teaching load will be two courses per year, distributed according to the Centre's needs and upon
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data