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, R, or Python is desirable but not essential. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our
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. These platforms will not only drive the next phases of R&D in solar cell and optoelectronic materials development but could also be incorporated as future in-line diagnostic tools on manufacturing lines. We
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related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You
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analysis according to the study protocol and statistical analysis plan. You should have experience in epidemiological analysis using routine healthcare datasets, along with advanced skills in coding in R and
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This is an exciting opportunity to join an R&D intensive centre which has built a strong reputation for successfully delivering key projects and technology developments for the energy sector both
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/people/academic-staff/rory-cooper Selected relevant publications: Santos Durán, G., Cooper, R. L., Jahanbakhsh, E., Timin, G., & Milinkovitch, M. C., Self organised Patterning of Crocodile Head Scales by
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knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently
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proficient in R, Stata, or Python for statistical analysis and have demonstrable experience in handling and analysing large-scale datasets, including EHR and biomarker data (e.g. UK Biobank, China Kadoorie
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data integration. Knowledge of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in
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The Senior R&D Engineer will take technical leadership responsibility for the delivery of applied industrial research and development projects, particularly in forging technologies. This includes