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and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models 2. Hold at
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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sufficient specialist knowledge in transcriptomics and NGS sequencing as well as the essential computational skills (R, Unix or Python) to develop research programmes in this area, and familiarity with
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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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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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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 this role, we are looking for candidates
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in other languages such as python, is an advantage. What we can offer In addition to salary, you will receive a generous annual leave entitlement of 25 days holiday plus 7 university closure days and 8
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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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. The candidate will have hands-on experience with Edge AI and embedded systems security, as well as a solid grounding in AI security and Trustworthy AI. They will be proficient in Python and ideally familiar with
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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