59 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" "UNIV" uni jobs at Technical University of Denmark in Denmark
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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. Further information Further information may be obtained from Professor Peter Vilhelm Skov, e-mail: pvsk@aqua.dtu.dk You can read more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about
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background and interest in sustainable energy Quantitative skills and experience with data handling Excellent communication skills, both in writing and oral presentation Open-minded team player, able to work
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the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Kim Dam-Johansen , Director of
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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candidate will oversee crystallization screening workflows, diffraction data collection, data management infrastructure, and structure determination pipelines, while ensuring seamless service to our user
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computing- and cloud infrastructure – enabling research, innovation, and secure data-driven services across society. About DTU Computerome DTU Computerome is a national High-Performance Computing (HPC) and
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workflows related to biofuels and added-value compounds production Structure experimental data and information, including budgets and forecasts Coordinate effective communication among research teams
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the EuroTeQ initiative at DTU by assisting with communication, event coordination, and data analysis related to student engagement and EuroTeQ educational offerings. The role involves collaboration with
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highly skilled and innovative Automation Specialist to meet the growing demands for advanced data handling and process automation, essential for data-driven discoveries and adherence to stringent research