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, statistics, medical statistics or a related quantitative area. Good programming skills (e.g. R, Python) are essential. An interest in statistical modelling of infectious disease data and in working with real
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science, mathematics, statistics and/or probability theory. Have a practical knowledge of the Python programming language, and SQL. Have a good understanding of Information Systems, and Data Management. Be eligible
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of future research proposals. Skills, Experience & Qualifications Needed PhD in an appropriate subject area (awarded or submitted). Proficiency in Python for scientific computing, including basic scientific
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mechanical assembly. Competence in C/C‑like microcontroller programming and Python. Strong practical understanding of electronics, circuitry and diagnostic tools. Experience with 3D printing, laser cutting and
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degree in a quantitative or computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data
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maintaining well-organised datasets that can be queried, analysed, and used in downstream applications Writing clear, reproducible code in R or Python to clean, process, and analyse data Supporting
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excellent analytical and programming skills (for example in Stata, R or Python), experience working with data, and an enthusiasm for interdisciplinary research that bridges data science, healthcare, and
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desirable. Understanding of fermionic superfluidity/superconductivity and topological materials is beneficial. Working skills in data analysis and automation of experiments with MATLAB, Python, or equivalent
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to create working prototypes. You may be comfortable working with software such as Linux, ROS, Python etc. You will be part of a diverse team who are responsible for designing, building, programming, testing
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milestones Ability to work in various places, such as university, city councils, and other relevant organisations Desirable Criteria: Experience with data analysis, modelling, or programming (e.g. Python, R