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3 Jul 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Communication engineering
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
: Experience artificial intelligence, machine learning, digital twin technology, control systems, or computer simulation Point of Contact Cinnamon Eligibility Requirements Degree: Master's Degree or Doctoral
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7 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Electrical engineering
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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building a self-improving, closed-loop discovery engine that couples AI hypothesis generation with the A-Lab, Berkeley Lab's fully autonomous laboratory for inorganic materials synthesis and characterization
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is fixed-term for 1 year
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description A leading general engineering school within IMT (Institut Mines
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 21 days ago
computational biology. Laboratory description: TheNDRS, headed by Dr. Sonja W. Scholz, is an internationally recognized neurogenetics laboratory located at the NIH campus in Bethesda, MD, USA. Our research
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Chemical Engineering Anticipated Hiring Range To commensurate with qualifications Location
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satisfactory performance and the availability of funding. The successful candidate will work with Dr. Yulong Lu on research projects related to the mathematical and computational foundations of generative