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., maternity/paternity leave), so we can subtract these periods from the span of their academic career when evaluating their productivity. For further information about the position, please contact
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research group "AI and big data in Radiation Oncology" (read more about the group here: https://www.en.auh.dk/departments/the-danish-centre-for-particle-therapy/research/research-groups/artificial
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information may be obtained from Daniel Olesen, danole@space.dtu.dk or Michael Schultz Rasmussen, msr@space.dtu.dk You can read more about the division at https://www.space.dtu.dk/english/research
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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work
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Associate Professor Luca Vezzaro. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU
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the Human-Centered Computing section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc
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international collaborators. Recently, the Cochrane Aarhus Center has been launched and is located at the Department of Clinical Epidemiology. More information on The Department of Clinical Epidemiology here
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. The period of employment is 18 months. Further information Further information may be obtained from Viji Kandasamy, Head of DNA Foundry. You can read more about DNA Foundry at https://www.biosustain.dtu.dk
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interpreting large-scale spatial transcriptomic data from multiple clinical trial. You will collaborate with an interdisciplinary teams of scientists and clinicians to develop bioinformatics pipelines and tools