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Would you like to develop sustainable solutions for mitigating climate change? Are you interested in materials, coding, and automation? This highly multidisciplinary doctoral student position
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methane. Improved scientific knowledge is needed to design the most efficient climate mitigation policy. You join the development of the global atmospheric inverse modeling system TM5mp-4DVAR, that is used
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shape a new model for the delivery of the Practicum and the Hotline’s important services. This grant-funded appointment is for a one-year term and is benefits eligible. The selected candidate may choose
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”): Physics-Guided AI for Climate or Earth System Model Downscaling Global climate and earth system models yield massive simulations at low space-time resolutions and are subject to uncertainties resulting from
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provide resilience to extreme weather and climate events at different scales? Then this PhD position within the REAP2SOW project might be for you! What you will do We are seeking a PhD candidate to
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(https://qtp.ufl.edu), a multi-disciplinary institute (Physics, Chemistry, Materials Science, and Computer and Information Sciences) focusing on theory, modeling, and computation of complex, novel
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: Full Time Closes: 7 January2026, 23:59 GMT Application link: https://www.essex.ac.uk/postgraduate/research/doctoral-training-partnerships/aries ARIES (Advanced Research and Innovation in
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applications. Integrating these observations with state-of-the-art hydrologic and crop models will support improved predictions of water availability, agricultural productivity, and resilience under climate
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Do you excel in numerical modelling to quantify hydrological processes and pollutant transport at catchment scale? In both research and science-based advice? Then apply to the open position as
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to contribute to the development of a regional, high-resolution (80 m) configuration of the global ECCO-Darwin model (Carroll et al., 2020; www.ecco-group.org ; https://darwinproject.mit.edu ). The selected