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undergraduate degree at an accredited UK university. Experience in software application development using a modern Object-Oriented Programming language such as Java, Python, or C#. Strong organisational and
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analysis, and experience of working with clinical data and Python-based tools. This is a unique opportunity to contribute to a project with direct clinical relevance, aiming to improve outcomes for children
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ovarian cancer research. The appointed candidate will have bioinformatic expertise, including experience using R and/or Python. High attention to detail is essential, as well as an ambition to produce high
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); programming for business analytics (Python, R); commercial analytics tools and databases (e.g. Power BI, Tableau, SPSS, SAS, SQL/MongoDB); and AI & data-driven decision-making (including generative AI/LLMs and
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Mechanical / Manufacturing Engineering and strong research record in digital manufacturing, geometric processing, intelligent mechatronics, or robotics. Excellent skills in C++ (or Python) programming, robot
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approaches for longitudinal health data analysis, as well as expertise in Python and R for healthcare analytics, and experience with ML/DL frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and
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computing discipline. Expertise in metadata standards, ontologies, and data architecture within health research settings Strong experience with Python/R for data processing, NLP and semantic web technologies