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LLMs with temporal reasoning and the ability to perform longitudinal predictions with multi-modal data. For details see the project website and in particular workstreams 3 and 5. About You Candidates
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law firms all within walking distance. About the role We are recruiting a Post Doctoral Research Associate (PDRA) to work within the Centre for Data Futures (CDF) at King’s College London, in close
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures
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of the literature and working closely with a multidisciplinary team to interpret findings alongside analyses of routine healthcare data. You will also support the design and delivery of a stakeholder workshop
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significant growth with substantial investment in new appointments, research infrastructure and laboratory space refurbishment. Further information may be found at: http://www.kcl.ac.uk/physics This is a full
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of writing up and editing research results, data collection and analysis, and picture or documentary research and reproductions. You should have excellent communication and organisational skills and maintain a
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the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1
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-xxMAAAAJ&hl=en The two core aims are to (i) investigate the shortcomings of Large Language Models (LLMs) in identifying and tackling online hate speech, which will involve both data collection and critical
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and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role