136 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Nature Careers in Denmark
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Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data ...
available from 01 March 2026 or later. You can submit your application via the link under 'how to apply'. Title Re-advertisement: Genetic Improvement of Dairy Cow Longevity, Using Large-Scale Body Weight Data
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development and scientific outreach. Please visit https://www.cancer.dk/danish-cancer-institute/ for more information. We wish to reflect the diversity of society and encourage all qualified candidates
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
at SDU: https://sdu1.23video.com/v.ihtml/player.html?token=8798e78f86240ba598c6f2f11d974734&source=embed&photo_id=111444369&autoPlay=1&endOn= Contact Information: For further information, please contact
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funded by a major research project from the Novo Nordisk Foundation (NNF). The successful applicants would become part of the Data Science & Statistics section at the department. The successful candidate
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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 CoaST (kdj@kt.dtu.dk ) or Professor
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong interest in translational
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, and society Education, relationships, and ecoliteracy Sustainability and adaptation in the Nordic and Arctic region Resource use, innovation, and the circular economy Digital technology, information
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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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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