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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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of simulations extending to 2300. The simulations will be from two international projects aiming to inform the Intergovernmental Panel on Climate Change Seventh Assessment Report (AR7): PROTECT (EU Horizon 2020
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Applications are invited for a fully funded fixed-term position at the Research Assistant/Associate (PostDoc) level in simulating stratospheric plumes. Emissions plumes from high-altitude sources
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are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods
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process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how
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physics within the Durham Quantum Light and Matter group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK
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group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK Research and Innovation (UKRI). The research builds upon
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play a central role in advancing AI-enhanced adaptive design tools, immersive simulations, and computational workflows that redefine how we design for climate-driven environmental change. You will
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United Kingdom Application Deadline 14 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job