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@chem.ku.dk , Direct Phone: + 45 5170 0144. Job description The positions are available for a 3-year period and the key tasks as a PhD student at SCIENCE are To manage and carry through your research project
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cohort preferences, therefore experience with inclusive methodologies such as co-design and stakeholder management is preferred. Experience working with AI, programming education, or marginalized learning
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-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and intelligent transport. International evaluations place DESS in
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DTU Tenure Track Researcher in Experimental High Pressure Phase Behavior for CO2 Storage and Othe...
in project proposal preparation and project management. You must contribute to the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least
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these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture
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assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database . Please note that we might ask you to obtain an assessment of your education performed by
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, please visit: http://mgmt.au.dk/ . Place of work Department of Management, Universitetsbyen 61, DK-8000 Aarhus C, Denmark. Formal Requirements You can read more about how to apply in the application guide
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27 Jan 2026 Job Information Organisation/Company COPENHAGEN BUSINESS SCHOOL Research Field Management sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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a positive team atmosphere, and the ability to manage complex tasks over time are important qualities for both positions. For Stipend 1 (AI Core), we seek a candidate with a strong methodological
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Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and