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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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. The PhD will adopt a strongly quantitative and data-driven approach. The student will develop and evaluate mathematical and statistical models of short-term attention dynamics, drawing on tools from
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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Applications are invited for an ESRC-funded North West Social Sciences Doctoral Training Partnership (NWSSDTP) PhD studentship (with potential to apply for 1+3 award) at the University of Central
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date 1 October 2026 Additional Funding Information This PhD project is funded for four years by Big C with a contribution of £50,000 supported by the John & Pamela Salter Charitable Trust. Funding
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investigation) and basic quantitative methods (e.g., monitoring) Ability to collaborate and engage to different stakeholders Strong analytical skills and ability to handle data confidently Funding support After a
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relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills
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implementation of analytical protocols (LCMS, ion analysis) The candidate will be part of a larger group working on different aspects of sonolysis challenges (~8 PGRs, led by Dr Bussemaker), alongside a well
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9 Feb 2026 Job Information Organisation/Company Trinity College Dublin Department School of Chemistry Research Field Chemistry » Organic chemistry Chemistry » Molecular chemistry Researcher Profile
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opportunity. Please include the keyword PhD Studentship-Self Funding in the subject field. Online application form. For further information contact us today: T: +44 (0)1234 758083 E: study@cranfield.ac.uk