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of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
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the experiments and ~18 years from the long-term monitoring site. These data are complemented by past and ongoing collections of plant ecophysiology and soil biochemistry. This postdoc position will focus largely
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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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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Anders Ståhlberg’s research group at Sahlgrenska Center Research for Cancer. Our long-term goal is early cancer detection and to personalize the treatment of each patient. Additional information about the
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THIS POSITION is based at the CoSAXS beamline, a SAXS/WAXS beamline at MAX IV, catering to a broad user community in Soft Matter and Life Science. . For information on the beamline, see: CoSAXS
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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
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prestigious international grant aimed to give long term support for groundbreaking research. The project is devoted to learning-based control for high-dimensional data, with application to individually