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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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in bioinformatic metabolomics data analysis The Department of Chemistry – BMC conducts research and education in analytical chemistry, biochemistry and organic chemistry. More than 100 people
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fundamental design principles for next-generation sustainable catalytic systems. The outcomes will contribute to developing green synthetic methodologies that replace rare-metal catalysts, enhance reaction
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crystallization of protein, performance of time-resolved crystallography experiments at Free electron laser sources, and advanced data analysis of the time-resolved crystallographic data in terms of structure and
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rare earth elements, as well as synthesis and characterization of new magnetic materials. The work is supervised by Professor Martin Sahlberg within the Inorganic Chemistry research program at
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Chemistry (experimental/computational physical chemistry) -Transition metal photocatalysts studied by femtosecond X-ray science with a focus on hybrid experimental/machine-learned structural dynamic analyses
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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data. You will be required to gain in-depth understanding of data analysis in cryo EM. Depending on your background and interests, the emphasis of the project will be adapted and can focus more on method
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synchrotron techniques such as X-ray photoelectron, absorption and fluorescence spectroscopies, and X-ray diffraction will be used for real-time analysis. Measurements will be conducted in controlled