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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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-frequency circuits is meritorious. What you will do: Develop your own scientific concepts and communicate the results of your research verbally and in writing The position generally also includes teaching on
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data
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to develop knowledge and research skills in cold region geotechnics (frost, frost heave, thawing, permafrost, and snow mechanics), advanced soil mechanics (mechanical properties of sulphide soil, organic soil
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computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the anthropogenic and natural processes, and their relative
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backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline
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urban catchments. Develop road designs that optimize water accumulation or flow. Create a framework for the selection and design of climate-adapted roads. The research will primarily involve hydrological
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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the RELOC-AGE research programme. A web-based housing counselling service has been developed in the programme with the aim of supporting older people to make well-informed decisions about their future housing
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understanding their pharmacokinetic properties including how the compounds are metabolized to ensure safe and effective drug development. Data-driven life science (DDLS) uses data, computational methods and