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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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, and is offered as a three-year fixed-term contract. The statistician will contribute to applied statistical analyses and data management across a range of collaborative research and advisory activities
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
of an international and researcher at SDU: https://sdu1.23video.com/v.ihtml/player.html?token=8798e78f86240ba598c6f2f11d974734&source=embed&photo_id=111444369&autoPlay=1&endOn= Contact Information: For further
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and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and Area of Employment The place
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at Universities 2025. Questions For further information please contact the Head of Department Jesper Hastrup Svendsen, jesper.hastrup.svendsen@regionh.dk Foreign applicants may find these links useful: https
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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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, disability, ethnicity etc. For more information on the diverse working place environment at the University and the University’s participation in the HRS4R HR Excellence in Research, see https
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Robotics. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email to Assistant Professor Di Wu diwu
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the project’s scope and may also contribute to teaching and supervision within the department. Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation
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heterogeneity underlying type 2 diabetes to develop strategies that better classify, prevent, and treat the disease. The group integrates wearable data, digital health tools, molecular profiling, and artificial