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interpretations, in this project, we will use Bayesian statistics and phylogenetic methods to evaluate whether the timing of CSP clade evolution and HGT events are consistent with the oxygenation timeline
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topics to both management and operational staff, ensuring the training is relevant and appropriate. Review of risk assessments and method statements and other safety documents, as well as aiding
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research in your chosen field. collaborate with the Director of the Research Institute for Sociotechnical Cyber Security (RISCS) on complementary research. You have completed or nearly completed a PhD in
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and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD students or postdoctoral scholars who are comfortable crossing
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facilities, and beyond as appropriate. You have: A good honours degree in Computer Science or a related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial
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involve conducting research in Assistive Robotic Technologies and publishing in the leading journals in the field, applying for research funding, supervising PhD students and postdoctoral researchers, and
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that is currently funding you and so the agreement of your line manager (principal investigator) would be required. Equally this post could be attractive to you if you are in the final stages of your PhD
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Supervisors and School Technical Manager. You will work closely with senior academics, research staff, PhD students, School Management and Technical Services staff with some collaboration with external agencies
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to deliver specialist technical services. Develop creative and innovative solutions in area of expertise, to advance research methods and practices. Operate, service, maintain and develop JOINER hybrid cloud
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local climate patterns of change. The resulting probabilistic information can guide risk assessment of a range of climate scenarios. You will have a PhD or are close to finishing a PhD in a relevant