15 computer-science-programming-languages-"the"-"U"-"UCL"-"IMPRS-ML"-"IDAEA-CSIC" positions at University of Glasgow in United Kingdom
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/or proficiency in programming languages commonly used for scientific computing and data analysis. B4 Holding a personal Home Office PIL license. Skills Essential: C1 Outstanding scientific and
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Location: London Job Purpose To work on a 24 month Knowledge Transfer Partnership funded programme to develop LEAP, an AI-powered platform that transforms teaching and formative assessment through
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accordance with the established programme. Clinical Scholarship: 8.To collaborate in appropriate clinical scholarship projects/trials through a portfolio of individual/joint research projects, to help secure
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Computing, Software Engineering, Computer Programming or Engineering programming. B2 Understanding of Trusted Research Environments. B3 Knowledge of developing parallel software for high performance
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and project team: 1. Plan, design, and carry out experimental and/or computational research to meet project goals, working independently or as part of a team. 2. Document research output
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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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-development of programme plans and to assist in the development and coordination of new academic content. 2. Contribute to course creation, development, and delivery, including tutoring support, within
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development. 5. Design, develop and deliver a relevant and up-to-date academic literacies and effective learner programme of workshops/courses, and promote these to undergraduate and postgraduate taught
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/Knowledge Essential: A1. Scottish Credit and Qualification level 10 (Honours degree) in a relevant subject such as computer science, statistics, machine learning, and/or mathematics, ideally with experience
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Job Purpose The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project. The project will develop novel computational methods that leverage state-of-the-art deep