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interdisciplinary research skills in statistical analysis, data visualisation, advanced programming, writing and oral presentation, and receive training to enhance transferable skills and employability. Person
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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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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interested in fungal ecology and evolution, with prior experience in programming and basic statistical skills. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement
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genomics, evolutionary biology, bioinformatics and population genetics. They will develop skills in large-scale data analysis and scientific programming. The student will take part in journal clubs and
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Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD
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a significant role in the development of public health teaching and research across the University of East Anglia. You will make a full contribution to our public health portfolio, including teaching