44 phd-mathematical-modelling-ecological-modelling PhD positions at University of Basel
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Research Infrastructure? No Offer Description The research group Ecology at the Department of Environmental Sciences at the University of Basel in Switzerland invites applications for a PhD position within
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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
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The Department of Mathematics and Computer Science at the University of Basel is inviting applications for a PhD position in Mathematics, funded by the SNF Ambizione grant “Investigating Anomalous
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and Computer 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
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at the Department of Environmental Sciences at the University of Basel in Switzerland invites applications for a fully funded four-year PhD position in alpine and arctic plant ecology. Current environmental changes
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PhD student position on Optical Control over Topological Phases of Matter (ERC Starting Grant) Starting April 2026 (or as agreed) The newly-established “Quantum Opto-Electronics” research group
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PhD position in alpine and arctic plant ecology 100% / starting date is January/February 2026 The research group Ecology at the Department of Environmental Sciences at the University of Basel in
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Your position New computational and analytical tools in population genetics allow to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify how well reported dynamics of decline in rare plant species align with inferred trajectories of...
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have since helped halve global mortality, but this progress is threatened by rising insecticide resistance. We build quantitative, data-driven models to forecast the spread and impact of resistance