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will be part of the faculty-wide doctoral education programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total of 4 years
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epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven
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should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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environment on regional development consisting of economic geographers and will also be affiliated with the interdisciplinary research programme “A Promised Land?” at the Centre for Regional Science (CERUM
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theoretical understanding of hydrology, boundary layer meteorology, and arctic ecosystem dynamics will be ideal for the planned work. Strong quantitative skills, including programming, numerical modeling and
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at the Faculty of Medicine are enrolled in the faculty-wide doctoral training programme. The programme comprises 25 credits and is offered in two study tracks: 25 credits across 8 semesters (4 years) or across 12
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. About the Network: GLYCOCALYX brings together 15 leading European partners in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between
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partners in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between the academic and industrial partners, to research the self-organisation and
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considered fulfilled by applicants who have acquired essentially equivalent knowledge through other means. Good programming skills in R are required. Documented knowledge of spatial statistics, stochastic