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learn to address major societal and global challenges. The successful candidate will take ownership of 10 credits of the 2nd year undergraduate module “Structural Engineering Design and Appraisal
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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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innovative curriculum. In this full-time role, you will specifically contribute to the development and delivery of our experiential learning content within the integrated MPharm. Our programme offers students
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and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and decentralised AI pipelines Formal
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evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and
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Permanent Line manager TBC Direct reports None Our website https://sheffield.ac.uk/ijc For informal enquiries about this job contact Meg Ayres, Student Experience Manager: on [email protected] Next
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Python programming experience in machine learning and natural language processing ecosystems Essential Application/Interview Good expertise in basic statistics. Essential Application/Interview Familiarity
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role. Based in the School of Allied Health Professions, Pharmacy, Nursing and Midwifery (https://www.sheffield.ac.uk/ahpnm ), you will join a vibrant community of teachers and researchers building
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Overview You will work within a team that delivers a high quality, inclusive and accessible learning experience for all students. You will support students, actively seeking out and responding
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website https://sheffield.ac.uk/cmbe For informal enquiries about this job contact Dr. S. Vaidyanathan, Project lead: on [email protected] or on 0114 222 7526. Next steps in the recruitment