147 parallel-and-distributed-computing-phd positions at University of London in United Kingdom
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of the research project and develop new areas of research. The post-holder will be expected to undertake a higher degree such as a PhD during the fellowship. About You The applicant must be a medically qualified
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Lecturer in Accounting (Teaching and Professional Practice), to act as a Deputy Programme Director for our flagship undergraduate programme in accounting – the Flying Start (FS). FS is a partnership with
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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distribution across residential buildings. In addition to linen operations, the post holder will assist with minor maintenance tasks, move furniture and supplies, and carry out safety checks to help ensure a
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You The successful candidate will have a PhD (or soon to be awarded), or equivalent experience which has involved significant practical cell culture, and ideally experience with molecular biology
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degree, who hold an ACVECC Diploma. A background in research work in one of the College’s areas of special interest or hold a PhD, although desirable, are not essential. We offer a generous reward package
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. About the National R&D Lab: The CoSTAR National Lab is the largest ever investment in creative industries R&D by UKRI. A £51.1m programme led by Royal Holloway, University of London to develop a National
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as well as working with collaborators, and proven ability to work with community partners. It is anticipated they will complete a PhD as part of this post. The post is fixed term until 30 September
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The Events programme at Queen Mary Students’ Union is integral to the student and staff experience and Queen Mary University of London, providing a platform to socialise showcase the great work
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable