257 computer-programmer-"U.S"-"Embry-Riddle-Aeronautical-University"-"U"-"U.S" positions at University of Cambridge
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The Functional Analyst role is vital to support business needs now, and in the future and is crucial to the support, integrity and enhancement of University Finance systems and associated reporting tools. The purpose of the Functional Analyst role is to work alongside an expanding team to...
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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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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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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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papers, and experience teaching in business school programmes (MBA, EMBA, MPhil/PhD) or Executive Education. While all areas of Organisational Theory and Information Systems will be considered, we
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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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holidays), a defined contribution pension scheme with 6% (minimum) employer contribution, a health care cash plan funded by the College (allowing you to claim money for routine medical treatments including
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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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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