15 parallel-computing-numerical-methods Postdoctoral research jobs at University of Lund in Sweden
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experience with the above methods and work with high-performance computing (HPC). Experience in analysis of spectroscopy data, spatial statistics, and data from soil or bacterial samples. Consideration will be
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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of the project Bacteria are constantly predated by viruses, bacteriophages. To resist predation, bacteria employ numerous antiphage defence systems, with the most famous being CRISPR-Cas. In our lab we discover
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for assessment: The employee must have a doctoral degree broadly related to gravitational wave physics and galactic dynamics together with a strong interest in numerical simulations and solution methods. Good
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computational simulation techniques are used. The research is applied to understand orthopaedic problems and to develop better methods to improve tissues regeneration. The group encompasses about 15 scientists
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the duties. The overarching goal of this research program is to uncover fundamental molecular principles governing membrane protein function, particularly how interactions with subunits, auxiliary proteins
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and
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eco-evolutionary physiology and thermal biology. Work duties The position is linked to the research program "HotLife – Pathways to Survival in a Warmer World," funded by the European Research Council
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particular we developed and investigated environmental applications of Scheimpflug lidar and its hyperspectral variety. Our methods have applications within profiling pollination services, biodiversity in both