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details and apply Overview About the Role The School of Physical and Chemical Sciences (SPCS) is seeking to appoint a new Lecturer in Computer Science who will join Queen Mary School Hainan (QMSH), QMUL’s
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- £50,961 per annum Contract Permanent Term Full time - 37 hours per week Apply by 29 March 2024 23:55 Interviews 1 TBC Job description 1 Lecturer, Computer and Data Science JDPS.docx – 71KB Converted File
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About the Role The School of Physical and Chemical Sciences (SPCS) is seeking to appoint a new Lecturer in Computer Science who will join Queen Mary School Hainan (QMSH), QMUL’s latest transnational
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London wishes to appoint an Associate or Full Professor in Computer Science. You will be teaching undergraduate and postgraduate students; provide service to the discipline in line with the evolving needs
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Bachelor’s degree (or equivalent) and/or a completed (or nearly completed) Master’s degree in Economics or other closely related discipline, strong quantitative and data analysis skills, strong programming
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workshops to enhance the collaborative network. Applicants should have a postagraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in bioinformatics, computational biology or
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relevant topic, relevant experience in bioinformatics, computational biology or machine learning, proven ability to work independently, as well as collaboratively as part of a research team, and proven
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are recruiting for two Programme Coordinators who will carry out very similar duties but will each support a different area of the Suite. The focus of each role will be either on the BSc Economics, Finance and
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The School Administrator will work together to provide a high-quality administrative support service in a fast paced working environment, meeting the needs of the learners, Heads of School and the teaching teams and supporting curriculum activities and objectives. Richmond upon Thames College...
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support research computing, through a mixture of software, services, training, and infrastructure. The new Data Science Computing Lab (DASCL) will deliver these services to end users through a private cloud