198 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Technical University of Denmark
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. Starting date is 15 April 2026 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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light-responsive hydrogels for controlled drug release Integrate sensing, delivery, and wireless control into a closed-loop system Perform in vitro and ex vivo experimental validation Analyze data and
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. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Matteo Fumagalli, mafum@dtu.dk . You can read more about the
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sensing and autonomous systems into geospatial analysis? Do you thrive in interdisciplinary environments and enjoy combining data-driven research with hands-on fieldwork — whether on boats, underwater
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, data management and analyses in an interdisciplinary research environment on Danish and international projects? You might then be the perfect candidate for one of our current vacancies. The Climate and
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mutual agreement, preferably as soon as possible and ends December 31st 2027. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Prof
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starting date on 1 August 2026 or according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Researcher Nefeli E. Novak
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, organoid-based models and in vivo cancer and infection models Integration and analysis of transcriptomics and proteomics datasets Establishment and maintenance of standardised experimental pipelines Data
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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