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candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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Applications are invited for a Postdoctoral Research Associate with expertise in optical spectroscopy, structural characterisation techniques and modelling applied to next-generation semiconductors
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science, nonlinear optics, sensing, advanced imaging techniques and numerical modelling. About the role A successful candidate will join the EPSRC funded project “Catalysis meets plasmonics: New
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with deep expertise in polymer synthesis, characterization, and structure–property relationships, and with a passion for pushing the boundaries of polymer research.Responsibilities - Conduct advanced
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for Resilient Water Systems Position Summary: We are seeking a highly motivated and interdisciplinary Doctoral Research Assistant to join a collaborative project aimed at advancing understanding of sediment
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Requisition Id 15537 Overview: We are seeking a Postdoctoral Research associate in computational nuclear physics. This position focuses on nuclear theory with an emphasis on nuclear structure and
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. The goal is to quantify both the extent of material degradation and its precise spatial distribution within the battery structure. By modeling the battery as a dynamic 3D acoustic landscape, we expect to be
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
related discipline with a focus on Digital Twins, AI, ML, or smart infrastructure systems. Strong background in computational modeling, data analytics, and/or automation in construction or infrastructure
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. Advance Bayesian and ensemble learning approaches for non-stationary temporal processes. Implement probabilistic diffusion or generative models for long-term forecasting. Collaborate closely with
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), Paris, France. The candidate will be responsible for: - Modelling the health impacts of environmental prevention policies, particularly in the areas of air quality, noise, physical activity and/or urban