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. You will coordinate with another postdoctoral research associate, focused on computational modelling, and publish your research findings to achieve project goals. You will contribute to knowledge
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/computational topology or algebra for biological systems and assist in organising activities relevant to this group. They will write up their results for publication, present papers at conferences and contribute
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sustainable market entry. This project is part of a UKRI‑BBSRC-funded programme based at the University of Leeds, working closely with collaborators at the Universities of Manchester and Warwick. The project
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research programme with real industrial applications.
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. mobility and body condition scoring) and ensure compliance with health, safety and animal welfare standards throughout the project The Person Knowledge, Skills and Experience Essential Experience collecting
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schools programme in Bradford. JUMP schools use the Creating Active Schools (CAS) programme to create place-sensitive change for whole-school physical activity within the Sport England-funded place
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development opportunities Provide a platform from which fellows may apply for external funding, such as clinician scientist fellowships, to be held at the Crick or elsewhere. The Programme: Fellows at the Crick
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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To apply for this role please submit the following document(s): CV Supporting Statement (Your Supporting Statement should be no more than 1000 words and should outline how your skills and experience meet the essential and desirable criteria listed above) You can view your progress and...
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data. The successful candidate will contribute to understanding how modern machine learning models...