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or pathway inference tools Experience working in high-performance computing or cloud environments Interest in developing novel computational or statistical methods for muscle biology Enthusiasm for open
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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security
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, such as sedimentation, meltwater flow, and vegetation change, into active drivers of adaptive design. This interdisciplinary work combines advanced computational tools, including 4D point cloud modeling and
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questions, please contact Associate Professor Miguel Bordallo López, Center for Machine Vision and Signal Analysis (CMVS) Faculty of Information Technology and Electrical Engineering, University of Oulu
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at the Stanford Cancer Institute (link is external) , directed by Dr. Summer Han, Associate Professor at Biomedical Informatics Research and co-directed by Dr. Allison Kurian, Professor in Oncology