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Field
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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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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
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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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Primary Supervisor - Dr Marius Somveille Background Seabirds are highly mobile organisms connecting distant regions across the world’s oceans and seas. While being important contributors to marine ecosystems, seabirds are also particularly threatened by human activity. To design effective...
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at the John Innes Centre, providing opportunities to develop extensive skills in a breadth of areas, including field surveys, plant pathology, molecular biology, and computational biology. Additionally, you
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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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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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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months