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to future grant applications Scientific project management and co-leadership Mentoring and training PhD students and MSc/BSc students We are looking for a candidate who: Holds a PhD in Computer
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start from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section for
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DTU Physics invites applications for a position as Full Professor in Quantum Technology based on ...
collaborative quantum research environment at DTU Physics. The position is based in the Quantum Physics and Information Technology section and at bigQ – Center for Macroscopic Quantum States, a Danish
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time of enrolment. Relevant academic backgrounds may include engineering, industrial ecology, sustainability science, resource management, data science, computer science, applied mathematics
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supervised by Professor Cecilia Høst Ramlau-Hansen (Department of Public Health), MD, PhD Nis Brix (Department of Clinical Genetics), and Professor Doug Speed (Center for Quantitative Genetics and Genomics
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computational design, construction robotics, and material innovation. SDU CREATE brings together an international research team working across architectural engineering, computer science, robotics
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brings together an international research team working across architectural engineering, computer science, robotics, materials science, and biology. Its research develops sustainable, regenerative
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
( SURFCAT ), a leading environment for advanced UHV-based surface research. The position is strongly integrated into the Pioneer Center for Accelerating P2X Materials Discovery ( CAPeX ), a major long
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Computer Science Ref number: 2026/958 Employment type: Full Time Apply Aalborg Deadline : 31.08.2026 Department: Department of Computer Science Ref number: 2026/958 Employment type: Full Time Apply Vacant
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applicants to: Have solid knowledge of econometrics and applied quantitative methods, with experience using Python, R, Stata, or similar tools, and be eager to learn and apply new methods. Be