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Arab Emirates Application Deadline 27 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Jan 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Department of Computer Science and Engineering—a joint department of Chalmers University of Technology and the University of Gothenburg with 300+ employees and a strong international profile. About the
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
14 Nov 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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The Department of Biology is seeking to recruit a Postdoctoral Research Associate for 24 months. This post is financially supported by the UKRI through the Frontier Guarantee Programme to Dr Jani R
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University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture | Croatia | 3 months ago
23 Sep 2025 Job Information Organisation/Company University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture Department Department of Energy, Power Engineering and Environment
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information - far beyond the limits of classical systems. Our research spans quantum computing, sensing, transduction, thermodynamics, and foundations, all aimed at harnessing the powerful behavior of light and
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applications for a postdoctoral position in the Department of Astronomy at Indiana University to work with Professor Songhu Wang on the demographics, architectures, and dynamics of planetary systems in both
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integrating IoT systems with cloud platforms such as AWS IoT, Azure IoT, Google Cloud IoT, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to
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techniques—including vision-language architectures (e.g., CLIP, BLIP), fine-tuning large language models for clinical NLP, and self-supervised contrastive learning—the models will learn to effectively combine