47 phd-in-architecture-landscape-built-environment PhD positions at University of Basel
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, Switzerland, invite applications for a fully funded, four-year (1 plus 3) PhD position in the Swiss National Research Foundation project “Feeding the Earth: Synthetic Fertilizers and the Remaking of Agriculture
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Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical
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The Department of Environmental Sciences at the University of Basel invites applicants to apply for a PhD position in evolutionary biology of microalgae as part of the SNSF Ambizione project: "Key
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, Applicants are expected to have excellent language skills in English. Opportunity to work on a highly innovative project within a highly interdisciplinary environment Enrollment in an established 1-year PhD
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dynamic research group in a state-of-the-art-equipped environment Dedicated supervision and career mentoring A fully funded PhD position Application / Contact Please use the link below to apply and submit
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related to staff position within a Research Infrastructure? No Offer Description The Department of Environmental Sciences at the University of Basel invites applicants to apply for a PhD position in
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The Department of History and the Europainstitut / Institute for European Global Studies at the University of Basel, Switzerland, invite applications for a fully funded, four-year (1 plus 3) PhD
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department at the University. We are located in the heart of Basel at 6 different locations. Be part of our future! The Metastasis Biology group led by Dr. Magdalena Sznurkowska seeks a motivated PhD student
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The research group Ecology at the Department of Environmental Sciences at the University of Basel in Switzerland invites applications for a PhD position within the ERC project 'Global status
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Science at the University of Basel is inviting applications for a PhD position in Mathematics, funded by the SNF Ambizione grant “Investigating Anomalous Behaviour in Turbulent Fluids through Analytical and Probabilistic