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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data scientists and researchers across five Danish universities building training and research
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Application Deadline 19 Oct 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Permanent Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme? Not
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contribute to interdisciplinary research spanning process engineering, power engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
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provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in
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environment Qualifications The successful candidate will have some of the following qualifications: Master or PhD in physics, photonics engineering, or related. Proven coding experience in scientific
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The Bhatt-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science
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develop the computational models and pipelines, and apply them to this data to get insights drivers of host-microbiome evolution. This PhD fellowship will be supervised by Assoc. Prof. Shyam Gopalakrishnan
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of Engineering programme as Associate Professor in AI and Computer Vision. You will play a central role in educating future engineers, combining deep technical expertise with close interaction with students in a
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by