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Intelligent Systems Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 18 Feb 2026 - 22:59 (UTC) Country Denmark Type of Contract Permanent Job Status Full-time
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Environment. CEBE is a strategic initiative funded by the Villum Foundation that seeks to strengthen research and development of sustainable solutions for the construction sector. The programme will run for 10
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field Has strong theoretical and practical experience in deep learning Has hands
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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project “Intelligent Robotic Endoscopes for Improved Healthcare Services”, coordinated by the Department of Computer Science at the University of Copenhagen. Funded through the Horizon Europe programme
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-on grant management in the Digital Europe Programme (DEP) (essential). Demonstrated ability to coordinate complex work across multiple partners and stakeholder groups, including managing timelines
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and precision medicine
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spintronic-based computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and