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about research opportunities at Aarhus University here: http://international.au.dk/research/ Aarhus University also offers a Junior Researcher Development Programme targeted at career development
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material, as well as a work-plan. Please see the CBS website for more information about admission here: https://www.cbs.dk/en/research/phd-cbs In addition to the research proposal, the application must
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
datasets. Proficiency in at least two of the following programming languages: Python, R. Experience in Machine Learning and Computational RNA Biology are desirable. Hands-on experience or understanding
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also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here: http://talent.au.dk/junior-researcher-development-programme
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Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SDU Robotics , part of the Maersk Mc-Kinney Moller Institute
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role will be vital to the success of the newly established DTU Arena for Life Science Automation (DALSA; https://dalsa.dtu.dk/ ). Together with a multidisciplinary team, you will implement DALSA’s
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environments at SDU. Who are we looking for We seek a researcher with expertise in the field of formal methods and programming, who is eager to develop their research career within the DIAS framework. The ideal
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient