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independently and enthusiastic about working in a dynamic, interdisciplinary, and international context. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD vacancy is part of the DynamiCity
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Join our project ASTRAfun (Adaptation and Starship Traffic in Root-Associated fungi), in which we will use computational models to unveil the hidden dynamics of fungal evolution. As a creative
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in evolution, statistical physics, and infectious disease dynamics
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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bulk to confinement on crystallization dynamics of mixed salts under various climatic conditions, focusing on special ion mixtures common in weathered stone. Performing systematic studies in
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Curiosity, resilience, and a strong drive to learn and innovate This position offers a dynamic and supportive research environment with ample opportunities for professional and academic development
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, the various disciplines collaborate intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science
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skills. Fluent in English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning