139 parallel-and-distributed-computing-phd positions at University of London in United Kingdom
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About the Role The School of Electronic Engineering and Computer Science (EECS) is seeking a new Lecturer in Electronic Engineering to support our long-standing Joint Programme (JP)/Joint Education
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About the Role As a Teaching Fellow on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life
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Responsibilities Provide timely and accurate administrative support for all Degree Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient
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position combines academic research with community action, supporting young people to lead peer research into violence prevention and mental health. You'll coordinate a programme employing 10 young people as
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Scheme and support the administration of various financial awards including QM Prizes, Scholarships, the Expedition Fund, the Cambridge Long Vacation Scheme and the US Loans Programme. The post will
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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and development of the research programme. The successful candidate will undertake the research investigations under the supervision of the Principal Investigators and in collaboration with other
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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the College’s small animal referral hospital by further developing and delivering advanced cardiac surgical therapies through the open heart surgery programme, at the Royal Veterinary College. We are looking
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as