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architecture, computer systems, or chip design. You could have insights in, among others, System-on-Chip (SoC) and chiplet designs, with an emphasis on energy-efficient processors; hardware-software co-design to
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
strengthen or add to our competences. We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ for more information. IMADA The section is part of the Department of Mathematics
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at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
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collaboration with industry? The Department of Electrical and Computer Engineering at Aarhus University is looking for a R&D Engineer (TAP) position from April 15, 2026 or as soon as possible. This is a fixed
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Job Description Do you want to establish or further develop your career as a computer scientist in an international, research-centred technical university? Do you want to contribute to the education
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Education and Center for Protein Design. Further information on the Department can be found at: https://drug.ku.dk/ We welcome applications from ambitious and talented early-career researchers seeking
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history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including
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of Rehabilitation Robotics and Tongue Computer Interfacing is a requirement. Further, it is a requirement that the candidate has experience with human experiments and with clinical studies involving paralyzed users
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contaminated water, wastewater, groundwater, drinking water and surface water and related environmental media. https://envs.au.dk/en/ https://projects.au.dk/waterpurification What we offer The department/centre
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, as well as other sustainability relevant endeavours Integrating advanced machine learning methods in thermodynamics for computer-aided property predictions, molecular and product design and