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Your position We are seeking a highly motivated PhD student to join our interdisciplinary research team. You will have the opportunity to apply cutting-edge quantitative methods and modeling
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using multivariate statistical methods, results that will be compared with other, independent temperature reconstructions, high-resolution palaeobotanical records, and vegetation modelling scenarios
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biological mechanisms is necessary to establish mechanistic models for tree distribution and growth that will improve our predictions of tree species' range-shifts as well as productivity changes within
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and Computer Science at the University of Basel are inviting applications for a PhD position focused on the foundations and applications of reasoning with large language models (LLMs), including
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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Your position The candidate will have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical
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of soil erosion and land management in phosphorus transport and eutrophication, using monitoring data from the EU Water Framework Directive to calibrate and validate advanced sediment routing and modelling
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of your master's thesis), and (iv) transcripts and diplomas of your bachelor's and master's degrees (if available) via our online recruiting platform. If you use large language models or other artificial
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therapeutic strategies, ranging from antibacterial to anti-cancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling. The candidate will
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication