42 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"UPF" "University of East Anglia" positions
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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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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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of London •Middlesex University •University of East Anglia •University of Essex (the co-ordinating institution) •University of Lincoln •University of Roehampton SENSS offers a world-class inter-disciplinary
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, Occupational Health and a 24/7 Employee Assistance Programme. Campus Facilities: Sportspark, library, nursery, supermarket, post office, bars and catering outlets. Exclusive shopping discounts to help cut the
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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