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myriad of new techniques and much sought-after skills demanded by industry, including the following: Design of experiments, data harvesting/analysis and interpretation of results to derive insight
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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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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken
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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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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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. The project will combine field measurements and laboratory analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron
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of aluminium-rich acid sulfate waters. The student will conduct fieldwork at both acid sulfate soil and acid mine drainage sites, gaining experience in sampling, preservation, and in-situ analysis of both
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Job Description A 3-year PhD position within ligand-observed NMR analysis of carbohydrate-active enzymes is available in the Enzymatic Synthesis Technology group at the Department of Biotechnology