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developed to produce a quantitative picture of ecosystems assembly across spatial scales under restoration. Funding duration – 4 years Funding Comment This scholarship covers the full cost of tuition and
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
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research methods. Knowledge and interest in mental health and body image / appearance psychology. In light of the project’s service user and equity-focused orientation, we particularly welcome applications
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or biological systems. Proficiency in implementing and interpreting statistical and ecological process models in R or Julia is essential. (Research Assistant) Applicants must hold a BSc or MSc in ecology
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to collaborate not only with peers in Swansea but also with partners across the UK fostering a rich and diverse research environment. Your role will be to develop robust remanufacturing process
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
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potential, communication and engagement skills and your interest in the research topic. Full guidance on the application process is available here. Early applications are encouraged. The post is preferred
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may apply stricter criteria to certain nationalities that may be over-represented in Singapore. As part of the offer/nomination process, The University of Manchester will select the most outstanding
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Environment: Based at the Biodiscovery Institute at UoN, a multidisciplinary centre with advanced laboratory and imaging facilities Access to a full range of equipment and laboratory facilities. Inclusive and
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an