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. Deep interest in cross-disciplinary applications and methodologies is a must. Computational and coding abilities for chemistry computations and machine learning applications in Chemistry are required
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findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering Excellent coding skills Preferably a familiarity with machine learning and deep
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practical experience of developing code for research. You should have proficiency in mathematical modelling and related statistical procedures (using GIS, Python or R or other programming languages) You
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and an effective team player Excellent numeracy skills (basic rules, using codes on databases) A pro-active and flexible approach to work with the ability to adapt to changing situations in a considered
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molecular and systems-biology models Delivering open-source tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing
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tools, reproducible code and high-quality publications Presenting findings to Imperial, Oxford and GSK stakeholders and contributing to collaborative project planning Secondments at GSK to test models
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related field. Experience with quantitative policy analysis using econometric, statistical, or simulation methods. Strong coding and analytical skills (e.g. Stata, R, Python). The ability to translate
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serve as a senior member of the Centre’s software team. The job will involve writing code in Python, Java and Typescript and developing the cloud infrastructure and Kubernetes services on which it runs
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expected to publish findings, and help attract funding. • PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering • Excellent coding skills • Preferably a familiarity with