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internationally in our research and study programs. In the newly established research group Forensic Psychology , we work on the application of psychological theories, methods and empirical findings to legal
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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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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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anatomy of the central nervous system. Work will involve both patient samples and experiments with live animals. Experimental methods include molecular and cell biology, flow cytometry, histology and
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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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grades. Excellent language skills in English. Ability to speak and understand German and/or French is an advantage. Excellent knowledge of research methods and statistics; ideally you are familiar with
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degree in botany, ecology, forest science, environmental science or related fields, and have a basic knowledge of plant physiology. Experience with plant ecophysiological methods and a basic understanding
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experiments, and design methods to evaluate soil health. The project will also explore translating Soil Living Labs outcomes into policy recommendations and conducting policy-relevant scenario analyses
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midge) larvae. Based on these sensitive temperature indicators, they will develop quantitative reconstructions of glacial temperatures using multivariate statistical methods, results that will be compared
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods