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for recognising merit at the University of Copenhagen: research, teaching, societal impact, organisational contribution, external funding, and leadership. Find information about each criterion: https
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. For further information please contact Professor Poul Nielsen, Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, e-mail: pouln@sdu.dk . The application must include the following
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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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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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students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information
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with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http
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to James McPherson (mcpherson@sdu.dk ). Application, salary etc. Further information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will
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behavioral data and present results at conferences and in journal publications. This project is theoretically and technically sophisticated and a candidate with strong analytic and quantitative skills
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utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The environmental medicine group studies the impact of early life