12 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at QUEENS UNIVERSITY BELFAST
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health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/ Queen's University is committed to promoting equality of opportunity
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. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409003/research-fellow-sch… Requirements Additional Information Work Location(s) Number of offers available1Company
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evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website. Where to apply Website https
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publications as appropriate to norms for Lecturer. Evidence of the ability and willingness to teach at university level Demonstrable ability to advance the teaching and research goals of QBS. To be successful
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and learning. Demonstrated ability to produce research outputs of international quality, with a publication record suitable for REF submission. Evidence of developing or contributing to successful
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or made permanent subject to availability of funding. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406542/medialab-technician… Requirements Additional Information Work
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Information document on our website. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405717/research-fellow-bac… Requirements Additional Information Work Location(s) Number of offers
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applicable, desirable criteria listed in the Candidate Information on our website. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405709/clinical-lecturer-i… Requirements
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning
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phenomena and impulsive events in the solar atmosphere. Our approach includes the implementation of machine learning models for multiline full-Stokes inversions. About the person: The successful candidate