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Field
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highly motivated PhD student. The successful candidate will investigate autoreactive T-cell responses and identify the antigens and epitopes they recognize. The project will combine cellular immunology
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Description of the workplace The Chromatin & Genome Integrity Lab (Stem Cell Center & Department of Experimental Medical Science, Faculty of Medicine), led by Dr. Giulia Saredi, studies
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate
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, cell biology, and translational medicine. The Researcher will lead and support projects involving CRISPR/Cas9 genome editing, molecular characterization of genetic modifications, transgenic animal
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provide funding for fees and stipend at the rate set by the UKRI, as well as other research training and support costs, and are available to UK and International students. This project is in competition
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
how cellular organelle organization and metabolic signaling pathways are altered during the development of cardiometabolic disease. You will combine biochemical and cell biological approaches with state
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data