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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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responsibilities As a postdoctoral researcher in the group, you will need to perform sample preparation, data collection and analysis work as agreed during regular meetings. You will also need to participate in
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specialized knowledge in cardiovascular genetics and bioinformatics skills relevant to the analysis of microRNA and sequencing data. More information about the position The appointment is a full-time, fixed
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will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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samples, including aspects of sample preparation and data analysis Good presentation skills (written & oral) Qualifications of merit: Knowledge of other synchrotron X-ray/IR techniques Knowledge of lab
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The Department of Mathematics and Mathematical Statistics, Umeå University, invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a