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, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is
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Visualization (CMIV) at Linköping University Hospital (www.liu.se/cmiv ). Analytic Imaging Diagnostics Arena (AIDA) is a national initiative based at Linköping University that supports research and innovation in
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precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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methods for such searches that account for event selection and systematic uncertainties, and to demonstrate them on realistic searches at scale on national HPC resources. The project will primarily use
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possess excellent collaboration skills and a goal- and result-oriented focus. You have strong problem-solving and analytical abilities, along with an independent, structured, and meticulous work approach
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good software engineering habits — modular, well-documented, reproducible code. Are comfortable working in interdisciplinary teams and can communicate effectively across computational and experimental
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screening approaches in which millions of distinct nanostructures are produced as a library, incubated with cancer and control cell lines. Cellular outcome will then be used as a selection marker to identify
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engineering practice, collaborative development experience (e.g. Git/GitHub), and ability to use AI-assisted coding tools effectively. Strong communication and collaboration skills, with the ability to work
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from: Professor Bengt Persson, +46 70-425 02 30, [email protected] We look forward to receiving your application by 9 July 2026, UFV-PA 2025/2059. In the event of any disagreement between