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(LES). Strong knowledge in the analysis of large DNS and LES datasets, and the ability to use this data to develop reduced-order models for combustion simulations. Strong analytical skills and a proven
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develops over time, and how this development is affected by lack of mechanical stimulation, using a large animal model. The technical goal includes to develop, perform and analyse data from high resolution
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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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between intense laser fields and matter, attosecond science, quantum information, solid-state X-ray spectroscopy, laser applications in medicine and biology, as well as industrial applications. More
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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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research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you wish to be considered.
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but is expected to engage in frequent collaborative work across the Öresund region, including regular experimental coordination with Copenhagen-based researchers and data collection at national
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develop the techniques and instrumentation, which are used by researchers from magnetism and chemistry to biomedical and environmental science. For information on the beamline, see: SoftiMAX Description
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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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of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. For more information about the total announced post-doctoral positions within