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the immunological and non-immunological mechanisms of late graft failure. Work will include collection, analysis, and interpretation of data, presentation at professional meetings, manuscript preparation, and grant
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Geography / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview Position title: Postdoctoral Scholar with Center for Spatial Studies Salary range
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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for professional development. The International Staff Services office assists employees from abroad with their transition to work and life in Finland. As part of the Faculty of Science, the Department of Mathematics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Title Post-Doc Research Associate Vacancy ID PDS004627 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent
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sustainable use of tropical coastal ecosystems. To this end, we work in an inter- and transdisciplinary manner with our partners in the tropics. The ZMT is a member of the Leibniz Association. The project is
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epidemiological modeling. Prior experience with mathematical modeling of vector-borne disease and gene drive control systems. Knowledge, Skills, and Abilities Programming skills in R or Python. Ability to work
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. Both the Department and the University run High Performance Computing services. The Statistics Group within the Department of Mathematical Sciences has 23 academic staff, plus postdoctoral researchers
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering