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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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of energetic materials. Applicants should hold (or be about to obtain) a PhD in a relevant field (e.g., Computer Science, Chemistry, or Physics). Computer programming skills (python) are essential. Practical
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relevant discipline. Experience with modelling or simulation tools (e.g., MATLAB/Simulink, PSCAD, PowerFactory, or Python) is desirable.
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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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related work. Strong programming skills in Python for data analysis, modelling, and decision‑support tool development; proficient in SQL for data querying and transformation Possess understanding
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include cloud based Trusted Research Environments (TREs.), Microsoft Azure, SQL, Python and Git. You will be based within the Faculty of Health and Life Sciences, reporting to the CHIL CTO, and will work
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relevant field. Proficiency in programming in Python and experience in PyTorch, Scikit-Learn or related modern machine learning libraries. Some working knowledge of using Anthropic/OpenAI APIs. Good writing
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skills. Is confident using digital learning tools such as Python, SAS, Stata or similar. Holds (or will soon complete) a doctorate in Finance or a closely related field. Enjoys contributing to the wider