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, the Department of Mathematics, and the Department of Philosophy. To respond effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and
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data with good utility. This project involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation
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mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve both internal and
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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in particular artificial intelligence (AI)—to study genetic and epigenetic alterations in cancer. ICGI is recognised for its work in digital pathology, where AI is used to develop new models
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems, prototyping, open source development All candidates and projects will have to undergo a check
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under uncertainty and decision support through combining observed data and mathematical models. The position is available from 19.08.2026 and we expect that the candidate can start the position no later
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components: (i) development and validation of a fit-for-purpose questionnaire instrument to quantify individual multilectal experience (engagement with, and exposure to, dialects and written standards); (ii
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DNA Experience with sedimentary ancient DNA analyses Knowledge of plant systematics A background in evolutionary ecology All candidates and projects will have to undergo a check versus national export