437 proof-checking-postdoc-computer-science-logic positions at University of Cambridge
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through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme (https://www.undergraduate.study.cam.ac.uk/stem-smart ) which will develop a
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Library, to receive new library material to the LSF, perform bibliographical checking, sort and enter it on to the online Warehouse Management System (WMS). Using a variety of manual handling vehicles
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neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading
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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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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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. The appointee will have a minimum Bachelor's degree in biological science, ideally in science related field, or appropriate experience or equivalent qualification and/or experience. Knowledge of the day-to-day
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address to your safe sender list peoplexd@accessacloud.com recruitment@joh.cam.ac.uk Regularly check your junk or spam folders, as emails may occasionally be filtered there. Early applications
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The Department of Chemistry is looking to recruit a friendly and enthusiastic new Receptionist. This is a key role in the Department as you will be the first point of contact for staff, students and
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The Mitchell Group at the Cambridge Early Cancer Institute is seeking a highly motivated and skilled Research Assistant with a background in computational biology to join their team specialising in
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https