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carcasses for analysis. Your task will be to explore what we can learn from the beached bird data. Topics include the distribution of mortality in time and space, and among species; causes of death, as
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on the development and application of computational tools in the project. This includes, first and foremost, computational text analysis to detect shaming and shamelessness in parliamentary debates, party manifestos
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design, field and laboratory-based research is required, including experience with algal culturing, microscopic techniques, photo-physiological measurements, as well as biogeochemical analysis
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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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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