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measurement; Measurement of related tracers (e.g., Radon); Programming (e.g., R, Python) for advanced atmospheric time-series analyses, including machine learning; Skills for presenting research at scientific
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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strong numerate background. Prior experience of mathematical or statistical programming is highly desirable. Informal enquiries concerning the project are welcomed by the primary supervisor. Entry
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someone with previous experience in programming, and an interest in biogeochemistry, but do not necessarily require environmental science as a first degree. Previous laboratory experience is desirable but
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T3 (Applications) through reliable quantum advantage assessment. Project Description The project addresses the critical need for reliable, scalable verification and benchmarking schemes in quantum
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DoS: Dr. Juri Na (juri.na@plymouth.ac.uk ) 2nd Supervisor: Dr. Claire Adams (claire.adams@plymouth.ac.uk ) 3rd Supervisor: Dr. Emanuela Ercolano (emanuela.ercolano@plymouth.ac.uk ) Applications
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as a fact of good care provision but as a marketable resource and yardstick for service delivery. Applications are invited for a 3-year full-time ESRC NWSSDTP CASE PhD studentship for a qualitative
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. Hours worked on education activities beyond 144 hours in an academic year are paid according to KCL’s standard rates for GTA teaching. Applicants must complete and submit an online admissions application
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists
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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham