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, and implementation of these advanced materials. Information and application To apply, please submit your application before September 30, 2025, via the "Apply now" button. Your application must include
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qualities You hold either PhD in deep learning techniques and an interest in climate science, or a PhD in Meteorology or Climate Science having clear experience with deep learning techniques. You possess
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. Your qualities For this interdisciplinary project, we are looking for a highly motivated and skilled postdoctoral researcher with a recent university PhD degree (or equivalent) in engineering, biology
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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, while working in an ambitious, motivated, and multi-disciplinary team of veterinarians, clinicians, material scientists, biologists, and engineers. You will also participate in the co-supervision of PhD