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method development for discovery of rare cell states and their tumor microenvironment in relation to patient outcome. Your physical working location will be at the Department of Medical Genetics, Section
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on interdisciplinary themes, and the use of computational methods will be essential. A key principle of the DSTrain programme is that novel and ground-breaking results are obtained when data science and natural sciences
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/ machine learning methods, and 10% on administrative and leader tasks. The post is with tenure and permanent. OCBE wishes to strengthen its capacity in machine learning and is looking for candidates with
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: The project seeks to explore novel RNA modifications and their roles and mechanisms in cancer initiation and progression, utilizing our state-of-the-art epigenetic/epitranscriptomic methods (Nature, 2016
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different methods to investigate these questions including behavior, anatomy, transcriptomics and electrophysiology with a focus on marine invertebrates, such as corals and Cephalopods. The successful
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Medical Center, California) who is an international expert in microbiome computational analysis. The successful candidate will work closely with bioinformaticians, immunologists, pathologists, and