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research and industry innovation. NIVI Research Center is a mission-driven academic research center, anchored at the Department of Immunology and Microbiology at the University of Copenhagen. The primary
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scalable, flexible, and sustainable building production. You will play a key role in connecting geometry, engineering, and manufacturing logics into a unified computational pipeline. BUILTWISE is an ongoing
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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: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 within a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
/Description: The Center for Virtual Care Value and Excellence (ViVE), led by Dr. Saif Khairat, is seeking an AI/LLM Postdoctoral Research Associate to join our AI research team. This is an exciting opportunity
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Application Deadline 17 Nov 2025 - 00:00 (UTC) Type of Contract Other 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
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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within the collaboration. You will work closely with Principal Investigators and industry scientists
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; expertise in a specific technology field is not required. The ideal candidate would have a Ph.D. in science, engineering, or computer science, and analytics experience within industry or government, be able
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medicine, with a primary focus on optimizing clinical trial design. The partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry