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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
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early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also
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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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. 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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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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with young adult participants and/or their parents in each country, deliver the school-based body image programme (including cultural adaptation where necessary), and conduct quantitative and qualitative
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in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups. We particularly welcome students with disabilities, neurodiverse
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, Physics, Mathematics, Engineering, or a related field. Applicants from other backgrounds with strong quantitative, programming, or analytical experience are also encouraged to apply. Strong programming
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+2 - covering 2 years of study for current postgraduate researchers Please see Additional Information the +2 application process. Tenable period Studentships available for both part-time and full-time