127 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at King's College London in United Kingdom
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strategy and service transformation programme currently underway at King’s and embracing opportunities to contribute in different ways. This is a part time (17.5 hours per week) post, offered
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600 staff and students. The Department supports innovative research with state-of-the-art technology and offers exceptional opportunities to collaborate with leading scientists in molecular medicine and
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. This includes the BA Film Studies and Postgraduate taught program (PGT) in Film Studies, which encompasses the Film-Philosophy Pathway and the Joint PGT program with the Courtauld. About The Role The King's Early
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program, and four PGT programs. We specialise in the relationship between culture, media and the creative industries and as such, foster a highly interdisciplinary teaching and research environment. Our
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qualified in computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven
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) and experience of utilizing digital technology in day-to-day work. Effective at working independently, and as part of a team, able to take own initiative and decisions with a proactive approach to
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. Knowledge of best practice process improvement and the capability to leverage available technology, data and reporting to improve new and existing processes. Experience of how to successfully roll out new
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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in health and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Applications
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(e.g. data science, computer science, AI/NLP)* Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by publications and/or dissertation, or equivalent