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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program
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statistical models (for example principal component analysis) to obtain insights into relationships between physical properties of polysaccharides (composition, molecular weight charge, chain length etcetera
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, and scenario analysis techniques to provide support for strategic decision-making and inform policy. The candidate will identify the existing data gaps in quantifying flood risk and explore best
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will be used to perform a comprehensive pathogen population analysis of TB in the UK, including routes of entry to the UK, onward transmission, geographic specific lineages and adaptations, including
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institutions (ca. 50:50). Hands-on experience will span battery manufacturing, electrochemical analysis, nanoparticle synthesis, surface chemistry, and safety testing (e.g., ARC). Funding notes: The candidate
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the preparation of articles for publication in scientific journal(s) Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc. Knowledge of advanced statistical
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numerous accolades, including three Oscars, twelve Grammys, six Emmys, and twelve BAFTAs. Supervisor: Prof Enzo De Sena Entry requirements Open to any UK or international candidates. Starting in October 2025
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link for full details. Key duties and responsibilities Developing a research protocol, undertaking data collection, data analysis for the qualitative research Conduct and manage research and related
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background in physics, biophysics, biological physics, or bioengineering. This PhD project will primarily focus on experimental research, which will include data analysis and there is scope for modelling
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, next-generation sequence analysis, immunohistochemistry, fluorescence in situ hybridisation Experience in cancer model development and pre-clinical therapeutic trials Evidence of working with human or