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commissioning commencing in 2027. The candidate will participate in the commissioning, testing, and optimization of the beamline. SINCRYS is built for SCXRD studies of small-unit-cell systems commonly encountered
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internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in biochemistry, structural biology or a related field, and has hands-on experience with cell culture
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) to study atomic structures of optically excited small unit cell crystals. The project involves measurements, data reduction and structure refinement of large serial femtosecond X-ray (SFX) crystallography
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disease and identify new therapeutic strategies. The position provides outstanding opportunities for scientific development in renal physiology, endocytic receptor biology, epithelial cell biology, and
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founded in professional scientific basic research. You can read more about the department here . About the research project The lab explores how immune cell function is regulated by ion channels and
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quality, including publication. Establishing pre-clinical models of prostate cancer including in vivo (in conjunction with the Thomsen group), cell-line co-culture and organoid models. Sectioning tissue
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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, quantitative proteomics, post-translational modification analysis and mechanistic cell biology to uncover fundamental principles governing protein regulation in health and disease. The two positions offer
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are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods range from cell biological over
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. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness