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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department
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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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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 19 days ago
of Contract Not Applicable Job Status Not Applicable Offer Starting Date 16 Mar 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number PS/688/PS_P3/OP4/ESO4.7
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discriminant models Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analysing and discovering patterns in probability distributions in latent space. We are not accepting
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» Computational mathematics Technology » Medical technology Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 16 Mar 2026 - 23:00 (Europe/Madrid) Country Spain Type of
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The meniscus
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part of the ESDiT programme on the ethics of SDTs (see below), specifically a research line in ESDiT on methodological innovation, and involves close collaboration with another postdoc working
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular