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Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries
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the College and the University, often under supervision of a project leader Collect research data; this may be through a variety of research methods, such as scientific experimentation and literature reviews
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, Fixed Term contract up to August 2028 Closing date: 19th August 2025 UK and International travel may be required for this role Background The post holder will be required to carry out computational
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set out in the fellowship and in the University of Birmingham’s graduate Programme of study. To contribute to the enhancement of scientific understanding of chronic inflammatory disease mechanisms in
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
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) in joint homeostasis. The successful candidate will work in close association with other lab-based scientists and computational biologists in the Croft lab as well as collaborators in Great Ormond
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Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews Present research outputs, including drafting
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emergencies PCOS SEVa – a national programme addressing variation in the quality of care for polycystic ovary syndrome (PCOS) Role Summary Work within specified research grants and contribute to writing bids
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(e.g. RNA-sequencing) The ability to work and think independently and to significantly contribute to the planning of a programme of scientific research Effective organisational skills and the ability
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor