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will be part of the IDUN research section, led by Prof. Anja Boisen at Department of Health Technology (DTU Health Tech). IDUN is a cross-disciplinary research section with over 50 members, that focuses
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the Ph.D. candidate is enrolled as a Ph.D. student at Aarhus University Graduate School of Health ( http://phd.health.au.dk/ ) in a separate procedure before starting as a Ph.D. student. The successful
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Evelina Stankevic Forman at evelina@sund.ku.dk . For questions regarding the recruitment procedure, please contact HR at hr-cbmr@adm.ku.dk . Application Procedure Your online application must be submitted
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analysis of next-generation sequencing datasets, such as ChIP-seq, RNA-seq, ATAC-seq Experience in computer programming languages, such as R, Python Experience in quantitative mass spectrometry for analyzing