201 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions at University of Cambridge
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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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
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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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Salary: circa £32,104 per annum, depending on skills and experience (2025/26 pay award pending) Hours: 37.5 hours per week (exclusive of meal breaks) Contract Type: Permanent, subject to six months’ probation Selwyn College, with a reputation for friendliness and good food, is recruiting for a...
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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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that the extensive programme of training sessions, workshops, lectures and conferences available to students are administered professionally and efficiently. The role-holder will also be responsible
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Fixed-term: The funds for this post are available for 18 months in the first instance. The University of Cambridge's Information Services is seeking an experienced Senior Software Developer to play a crucial role in the redevelopment of the University's recruitment systems. This 18-month...
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enable the full exploitation of next-generation observations using Exascale computing, i.e. leading the research in solar/stellar physics for many years to come. We are seeking a highly motivated Research
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will be addressed using a series of behavioural and electro-physiological experiments with Cochlear Implant users, as well as comparing the outcomes with predictions from existing computational models