211 parallel-and-distributed-computing-phd positions at University of Cambridge in Uk
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. Applications are invited for this one-year post-graduate training programme based in the Queen's Veterinary School Small Animal Hospital. On site accommodation is available for £300 per month including bills
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Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL
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The Precision Breast Cancer Institute (PBCI) has a vacancy for a motivated Biosample Assistant. The PBCI is a purpose-built research facility adjacent to the Cambridge Breast Unit (CBU) at Cambridge University Hospital (CUH). It is staffed by a multi-disciplinary team, including oncologists,...
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Cambridge University Library Storage Facility (LSF), located in Witchford, Ely is looking for an enthusiastic and diligent service orientated person to join its high performing team providing storage and logistics services to the library community in Cambridge. The post requires a very high...
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computer skills in the use of office software (e.g., Excel, Word, PowerPoint) We encourage applicants meeting these criteria to apply and especially encourage applications from individuals from
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coordinate and support delivery of a sustainable, flexible, safe and enjoyable, player centred college sport programme which provides regular training and playing opportunities for all players and promotes
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allowance, and assistance with computing facilities. Research Fellows will be given the option to live in College, subject to a combined rent and service charge, and are entitled to lunch and dinner in Hall
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region. There is also a chance for this role to participate in the rest of the UCM's Inclusion and Community programme identifying opportunities for extended engagement with participants, where appropriate
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We seek an energetic and enthusiastic individual to act as Group Administrator to the Computational and Biological Learning Group (CBL). CBL is housed within the Information Engineering Division
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a materials engineering perspective: energy systems, advanced manufacturing and materials, computational and data-driven engineering, and robotics. The Department of Engineering is one of the few