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Field
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of IR efficiencies like heat pumps. Currently the Standard Assessment Procedure (SAP) attributes infrared heating the same CO2 equivalent as direct electrical heating. However, it is currently unclear
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within fusion reactors, especially plasma-facing materials (PFMs) exposed to intense heat fluxes and energetic particles. Understanding and predicting how these materials degrade under such conditions is
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. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
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condition (which is often observed at an early stage following minor skin wounds) — is also far more common in Black populations. Both conditions involve dysregulated collagen production and aberrant TGF-β1
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
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challenges in the area of hazard assessment and impact forecasting. The aim of the project is to develop methodologies for forecasting future energy use for various assets and weather scenarios from short term
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status, in exceptionally large population-based studies (e.g., UK Biobank and EPIC Norfolk cohorts with over 100,000 study participants, with repeat assessment in a sub-set). Findings will provide
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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crucial role in paper manufacturing, enhancing paper strength, surface properties, and printability. However, variability in starch quality, processing conditions, and raw material properties can
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and assess pupils’ progress in both reading and mental wellbeing. The role offers valuable experience in applied educational research, data collection in school settings, and working directly with