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on research activities, allowing you to dedicate your time to scientific excellence and career progression within a leading research centre. The NET-VHIO Program is a translational research group focused
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4 Jul 2026 Job Information Organisation/Company Ghent University Research Field Engineering » Materials engineering Engineering » Other Physics » Quantum mechanics Physics » Solid state physics
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(LLMs), computer networks/systems or wireless networks Research experiences in at least one of the fields: wireless sensor networks, IoT networks, vehicular networks, cloud/edge computing, AI systems A
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precision measurement and an interest in studying living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located
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Ireland within the School of Computer Science and Information Technology and this position will be hosted by Dept of Music in UCC. This role is part of a national Centre, Rinn Artificial Intelligence
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with public and private data sets (e.g., O*NET and Lightcast). A computer science background and the ability to build data pipelines are a plus, as well as fluency in modern AI tools. This position
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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exceptional, computationally-minded researchers to help us invent what comes next and, if you are inventive enough, to shape your own direction. If you are a physicist, computer scientist, biologist, engineer
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postdoctoral fellows, scientific and engineering staff, visiting scholars, as well as a large network of international collaborators. Networking opportunities extend to the group’s broad research program in low
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical