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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
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model and fostering an inclusive working culture. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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needs. In addition, your role might involve supporting existing initiatives, organising workshops, proposal development and writing. PhD in Engineering, Physics, Mathematics, Computer Science or a closely
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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obtaining, a PhD in computer science, engineering, mathematics, or a related physical sciences discipline, with research expertise in areas such as hardware-aware AI security, approximate computing, or secure
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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes
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, quantitative field, e.g. atmospheric or climate science, meteorology, computer science, data-science, physics, mathematics, statistics, environmental science or related fields Evidence of a good understanding
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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