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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
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in a quantitative subject (e.g. Bioinformatics, Biostatistics, Bioinformatics, Computational Biology, Epidemiology, Health Data Science or similar).* Expertise in processing large genomic datasets
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We are seeking an enthusiastic and independent Research Associate to join our growing research in the Department of Chemical Engineering and Biotechnology at the University of Cambridge. The role
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, and the results interrogated using the Perseus program. The third system is a Waters TQ-XS triple quadrupole with an M Class LC system. The instrument has a normal source interface, an IonKey source and
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The salary for the post will be in the range of £38,286 – 41,443 per annum (depending on experience). The post is offered full-time but 80% working may be considered for the right candidate Peterhouse is the oldest College in Cambridge (founded in 1284) and is among the smallest (currently 300...
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Researchers who are based across Africa and other locations in the UK, mainland Europe and Scandinavia. MAEASaM is an international, multi-partner programme. The University of Cambridge serves as the lead and
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of an integrated approach to risk-stratified screening, following the success of the BRAID trial. This work will help inform NHS Breast Screening Programme policy, assessing the value of supplemental imaging based
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programme including free yoga and bootcamp sessions To learn more about this role, or to make an informal enquiry, please contact the Head of Hospitality and Catering, Catherine Kearsey, on catherine.kearsey
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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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) cbl.eng.cam.ac.uk in the Information Engineering Division. CBL combines expertise in machine learning with computational neuroscience. The candidate will lead a research programme in one or more of the following