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of cancer immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop efficient immune therapeutic strategies in these areas. Close networking between University and
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scientist with a strong background in: MR Physics, Data Science, Biomedical Engineering, or a related discipline Solid experience in MRI acquisition and data analysis, ideally in cardiac and/or brain imaging
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and Temporal Remodeling: How do microvascular lymphatic networks adapt during disease initiation, progression, damage resolution and what governs the timing and localization of these changes? Cellular
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collection, quantitative data analysis, as well as in project coordination and collaboration is highly desirable. The ability to work independently, responsibly, and to collaborate within a research team is
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“Compartmentalized Cellular Networks in Neurovascular Diseases.” We welcome applications from candidates with expertise in either of two complementary profile tracks: Profile Track 1 – Computational Epigenomics
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science, and health-economic evaluation. We collaborate closely with other leading academic institutions (e.g., Harvard, UCSF, Johns Hopkins), global research networks (R2D2, Smart4TB), global health
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discussions and team meetings Taking over project responsibility Collaborating closely within an interdisciplinary research team sincere interest in analysis of large scale data - we can provide guidance Your
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lower thermosphere by developing and exploiting expertise in atmospheric physics, instrumentation, analysis and modelling to serve emerging societal needs – such as questions regarding increasing
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, and industry partnerships, as well as global networks, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in 1992, the Max
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excellent methodological and academic writing skills, experience with data management and confidence in data analysis (R, STATA, etc.). While experience in experimental work with human participants is a must