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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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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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simulations of hydrogen bunkering and transfer systems on board ships. Analysis of temperature development, mass and energy balances, and flow/pressure variations during fueling and operation. Material testing
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behavior during transport, compression, and fueling under realistic port conditions. Analysis of intermediate storage concepts tailored to different port profiles. Evaluation of energy efficiency and
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: Fluorescence microscopy and image analysis Expertise in cell culture and molecular biology techniques Experience with additive manufacturing (3D-printing) technology Knowledge of microbiology and cancer cell
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or white light interferometry Microscopy and image analysis (e.g., SEM, fluorescence microscopy) Antimicrobial testing or microbiology techniques Cell biology and molecular biology techniques (e.g., qPCR
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation