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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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international and multidisciplinary research group. Our research focus lies on the quantitative and qualitative metabolomics analysis of human samples for biomarker discovery of pancreatic cancer and other
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original research papers in leading peer-reviewed journals. Supervise and mentor MSc and PhD students, co-supervising theses and guiding laboratory work and data analysis. Requirements: Strong knowledge and
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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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, to thermoelectric and electronic transport measurements. The project also incorporates a theoretical component, including theoretical predictions of material stability and properties, carried out in collaboration
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). The work involves practical laboratory work (reverse genetics and single cell genomics) as well as a significant portion of bioinformatic analysis, such as RNA-seq data analysis. You might be involved in