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of the ubiquitin system that drive its dynamic interactions. Objectives. The post-doctoral fellow will work on the development of a robust detection pipeline for sub-single-cell proteomics. Training and research
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viral diseases. The laboratory uses a combined human natural history study and experimental laboratory approach to understand host-pathogen interactions longitudinally during illness in blood and tissue
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. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to
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to enable remote orchestration of energy systems. Working with RT-HIL environments (e.g. OPAL-RT, Typhoon) to validate cloud-controlled systems interacting with real hardware. Developing and testing scalable
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of Medicine, New York, NY Research environment for postdoctoral fellows: At the Albert Einstein College of Medicine ( https://einsteinmed.edu/ ) we provide a highly interactive and stimulating academic
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from and strongly interact with the Helmholtz large-scale infrastructure project “SAFAtor”. Your responsibilities: Processing DAS data from different ongoing experiments in the study region Application
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impactful papers, which include: Development of a CRISPR-based CAPTURE approach for in situ analysis of chromatin interactions ( Cell 170:1028, 2017) Reported that loss of EZH2 reprograms branched-chain
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Group Leaders and Postdoctoral Researchers: Global Call for Scientific Talent at Fondazione Telethon
asset of our network is the close interaction with experts in regulatory science, CMC (chemistry, manufacturing and controls), and translational development, which significantly enhances the potential
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their past work. Candidates should also highlight in the cover letter how they might interact or support work in one of the other two themes. The two post-doctoral fellows are expected to work as a close-knit
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function is directed by the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and