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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The Nuclear Science and Engineering (NSE) Division
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)-POSTDOC [#30871] Position Title: Position Type: Postdoctoral Position Location: Chicago and Evanston, Illinois 60208, United States of America [map ] Subject Areas: Computer Science Economics
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Are you interested in real-time distributed systems, IoT connectivity, and AI-driven automation? The Department of Electrical and Computer Engineering at Aarhus University invites applications for a
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
23 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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technology, such as materials mechanics and machine elements. In the undergraduate program, the two main programs focusing on the international profile of the Division of Materials Science are essential
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description RECTOR OF CZESTOCHOWA UNIVERSITY OF TECHNOLOGY announces an open
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI