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modelling; Strong analytical and programming skills (preferably in R and/or python); Presented research findings both internally and at international meetings; Demonstrated ability to publish research in
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presenting results in a suitable format for dissemination of results in reports presentations, and research papers etc. Demonstrable knowledge of Programming skills (Python/C++/Matlab) Interest in developing
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran
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or experience with data analysis methods (e.g. use of Stata, R, Python, or Stata) Ability to communicate complex information clearly Excellent ability to work as a team and independently including co-ordinating
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, with careful attention to charging protocols and risk mitigation. You are proficient in programming with Python, C++, MATLAB, and have strong experience with ROS, alongside familiarity with R
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programming languages including C, C++, C#, Python. A4 knowledge of the theory and practice of structure elucidation by single crystal X-Ray diffraction, and other techniques for materials characterisation. A5
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and strong teamwork skills, with a willingness to work as part of a large multi-disciplinary team Strong computer programming skills. Specifically, experience in the use of Matlab and/or Python
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG
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Python or a similar system. A4 Knowledge of integrating Design-Make-Test-Analyze (DMTA) cycles for drug discovery with automated chemical synthesis systems. A5 Knowledge of automated solid phase synthesis