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Anglia) and to present their results to wide-ranging audiences in conferences and meetings. The multidisciplinary nature of this project will contribute to build a broad network and will provide
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of the student’s project and allow them to network. The partners will also be able to offer the PhD student the opportunity of placements, during which the student can gain major insights. This would help them
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including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during their PhD
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Social Sciences, and the Northern Advanced Research Training Initiative network. The award is available to home and international candidates. If English is not the candidate’s first language, the candidate
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Safety Research Collaboration, which allows broader networking with other PhD students, researchers and academics nationally. The PhD position is for a UK-registered pharmacist. Applicants who are General
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will have access to the wider network of the Centre for Microbial Interactions at the University of East Anglia which consists of over 200 researchers studying all Kingdoms of life. Person specification
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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, you will have regular opportunities to present your work in academic meetings. You will also be able to develop your wider networking skills through interactions with Fera Science, as
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training and networking opportunities. Person Specification: We seek an enthusiastic team player with strong interest in the carbon cycle and climate change, self-motivation and numerical skills. Entry
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, and networking skills. Person specification This interdisciplinary research is best suited for individuals with broad interests in understanding the implications of climate change and an attitude to