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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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respiratory diseases, the collaboration leverages the world class capabilities of Cambridge University to provide transformational impact for patients, while aligning with GSK R&D strategic priorities. The Data
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to innovation outcomes, most of this work, including our own, mainly focuses on R&D-focused agencies. In contrast, we know little about which institutions most effectively help commercialise new technologies
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excellent competency in relevant programming languages, for example C, Python, or R. Experience with nanopore data is beneficial and will have excellent skills working in teams and communicating complex
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qualification. Experience in processing and analysing large biological datasets. Expertise in programming using at least one of R or Python. Excellent organisational and communication skills. Experience in single
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network-based analysis, with proficiency in Python/R, Nextflow, and high-performance computing. In addition to the project work, the role holder will provide support to researchers in the group, assist in
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range (but not all) of these: *Carrying out / supporting quantitative research, for example: Bayesian statistics, programming in R, surveys, discrete choice experiments, and version control / Git
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collaborators to produce and implement a detailed modular protocol for handling and processing location data by using and adapting existing open source code written in R. You will also link locational data