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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
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and the Wolfson Bioimaging Facility. You may also have the opportunity to train and work with junior researchers to support your project. You have a PhD (awarded or imminent) in relevant fields, or in
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on a high-volume payroll using attention to detail and excellent numerical skills You can work methodically and are able to plan and prioritise a busy workload with strict deadlines Using logical
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large and friendly research group and to take advantage of the opportunities on offer for career development in renal research and acquisition of related academic skills. A PhD or equivalent qualification