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of Basel, invite applications for a joint PhD position focused on empirical analysis of emissions, policy, and financial dynamics in the buildings and construction sector. The PhD position focuses
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exposure, enabling systematic analysis of killing dynamics. Using this approach, we have shown that bacterial survival is strongly shaped by the bacterial genetic background and predicts treatment outcomes
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production, thematic concerns and the circulation of artworks. Grounded in rigorous art-historical analysis, the project focuses on painting – a medium with a long tradition of gendered hierarchies that has
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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experimentation – spanning RL, few-shot learning, meta-learning, etc. – with formal analysis to push the boundaries of what modern AI systems can reliably reason about. Position available starting around July 2026
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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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
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paleolimnology, palaeoecology, limnology, microfossil analysis and/or sediment work would be an advantage. Candidates should be motivated to conduct fieldwork abroad and have good English language skills. Good
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field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience with data analysis/modelling and
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have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput