34 programming-"the"-"DAAD"-"EURAXESS"-"U"-"FEMTO-ST"-"IMPRS-ML" "University of East Anglia" positions
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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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. 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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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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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
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Kishita (University of East Anglia) and Prof Kathryn Almack (University of Hertfordshire). This post is co-funded by the ASCENT programme, and the Norfolk County Council, and targets research capacity
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tests for advanced disease and improve our understanding of cancer progression. As a Research Associate you will contribute to the research programme, analyse and interpret data, write up results and
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analysis, programming and scripting (e.g. Python, R), mixed model and multivariate statistical analysis and the ability to interpret results. You will have strong communication skills, and work effectively
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), Prof. David S. Richardson (University of East Anglia, UK) and Prof. Kees van Oers (Netherlands Institute of Ecology). The project is in collaboration with Profs Jan Komdeur (University of Groningen) and
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experience in programming, bioinformatics analyses and/or machine learning techniques and managing a project with large amounts of data. Experience in clinical statistics, data management, and cancer research