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centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively, friendly and
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the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with large-scale facilities such as MAX IV, ESS
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and natural history. This role is part of the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with
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within the areas of science and environment. For more information, see https://ruc.dk/doctoral-school-science-and-environment . As a PhD student you will be associated with the Section of Mathematics and
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about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical
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tackle high-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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requirement) In addition, you should have basic programming skills (e.g. Python, Julia) and an excellent command of English. You must have a two-year master's degree (120 ECTS points) or a similar degree with
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about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical
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bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment. • Programming or scripting skills (e.g., R, Python, bash). • Excellent
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area. As for any research position in this area, successful candidates are expected to have scientific curiosity, critical thinking skills, and strong programming skills. The PhD programme