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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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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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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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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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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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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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in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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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