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Field
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Primary Supervisor: Dr Penelope Pickers Scientific Background: Successful implementation of the Paris agreement relies on countries’ emissions being accurately known and readily available, but our ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions...
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strong scientific interests and self-motivation. They will have a degree in physics, mathematics, oceanography, meteorology, or a related science with good computing and numerical skills. Entry
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of genomics and bioinformatics, giving the student access to cutting-edge training opportunities in coding, data science and fundamental principles of computational analysis. The student will receive
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structural variation analysis. Training: You will develop a broad set of skills in computational biology, genetic analysis, bioinformatics, and scientific writing. You will also gain expertise in evolutionary
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-verification, and in-country assessments of the nature, extent and likelihood of threats to these heritage sites. MAEASaM is a partnership programme, with the University of Cambridge serving as the lead and
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focus on your research. Serious Funding: You’ll have access to a £35,000 research training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing
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for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the resources to succeed. Launch Your Career: Our graduates have landed senior roles in top industries, thanks to
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-free stipend based on the UKVI amount (£20,780 for 2025-26). We expect the stipend to increase each year. This studentship is related to a multi-institutional EPSRC Programme Grant “AMFaces: Advanced
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and overseas fee. For 2025/26 entry this will be £22,714 per year of study. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and
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temperature stability and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete