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Associate Professor Martin Thomsen’s group on data analysis and model development. You will report to the Professor Ian Mills/Associate Professor Emma Evergren. Your competences You have academic
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crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present
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Experience with synchrotron X ray scattering and/or XFEL experiments. Strong skills in crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography
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radiotherapy. Experience with photon-counting CT will be a considerable advantage. Deep learning knowledge will be an asset. CT image analysis skills is a prerequisite. You should have a strong theoretical