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, insect cells), chromatographic FPLC-based protein purification, protein interaction studies (e.g. analytical SEC, native PAGE, fluorescence polarization, ITC, SPR, Pulldown/Mass Spectrometry), 3D
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, recombinant synthesis of proteins. Experience with, or a strong willingness to learn, computational chemistry techniques. Proficiency in analytical techniques like NMR, Mass Spectrometry, and Chromatography
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be conducted in the Cancer Proteomics Mass spectrometry research group headed by professor Janne Lehtiö . The research group is placed at SciLifeLab in Solna, Stockholm. The Lehtiö research group is a
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PhD Studentship: How Does Spatial Organisation Impact Host-microbiome Interactions in Human Airways?
bacterial metabolites (via mass spectrometry). The student will also co-culture multiple microbial populations to study how size impacts interactions of microbes with each other and host cells . Objective 3
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system under examination are replaced by an isotopic equivalent. These compounds are then introduced to the system, and the resulting product compounds are examined, e.g. by mass spectrometry. From a
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, including mass spectrometry and glycan microarrays, to elucidate the enzymatic activities and substrate specificities of glycosyltransferases. • Collaborate with interdisciplinary research teams to integrate
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(Tokyo University) and Germany (AWI) • Plentiful leaning opportunities concerning new methods, access to cutting-edge technology (microscopy, mass spectrometry etc.) • Enrollment at the University of South
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two approaches to better understand through which mechanisms exposure to EDCs impacts health: You will integrate High-Resolution Mass Spectrometry (HRMS)- based measurements of EDCs, biological effects
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analyses and theoretical methods. Furthermore, you will be expected to interact with other members of the DOC-PAST European ERC project, including analytical chemists, mass spectrometry experts
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techniques, like mass spectrometry and genome-wide profiling. Computationally, we analyze our own large data sets and try to integrate results from classical and machine-learning based bioinformatics. Our