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Field
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In recent decades the interest in green hydrogen has increased rapidly driven by climate change concerns and net-zero carbon targets. Between 2025 to 2030 there is an opportunity for hydrogen
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in the field of infrastructure and built environment to enhance efficiency, safety, and sustainability. This project seeks to utilise expertise in networks and systems-of-systems modelling to analyse
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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Start Date: As soon as possible Application deadline: 1st April 2026 Introduction: Climate change and the race to decarbonize our society is making extreme events in fluids more prevalent. These
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role The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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an interdisciplinary approach that integrates concepts and methods from political science (e.g. empirical political analysis and environmental science (e.g. statistical modelling of climate and biodiversity) ). By
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to state-of-the art AI/machine-learning, from modelling to measuring emissions and climate effects, noise and noise propagation. Job requirements The PhD position is funded by the Horizon-Europe TUNED
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microbial species distributions respond to ongoing climate change. The four-year project will build on time series data on microbial biodiversity changes across large temporal and geographical extents, based
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Questions, Real Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed