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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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the third and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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Summary Work within the PRE-EMPT programme grant and its team of co-applicants Operate within area of specialism (implementation science/behaviour change/maternal health) Analyse and interpret data and
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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and innovation (R&I) ecosystem. This is a unique opportunity to establish or expand your research programme in the UK, collaborate with world-class researchers, and contribute to national and global
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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You You will have a PhD in malacology, epidemiology, spatial mapping, mathematical modelling or related disciplines and be able to demonstrate a sound understanding of schistosomiasis preparedness and
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mathematics, computational biology, or a closely related field. Demonstrate a developing research profile with publications and conference presentations. Possess strong skills in statistical computing programs
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As a staff member in the Department of Chemistry within the Mathematical, Physical and Life Sciences (MPLS) Division, you will be working in Kavli Oxford as an interdisciplinary institute where