263 assistant-professor-computer-science "https:" "https:" "https:" "https:" positions in United Kingdom
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for academic-related enquiries Dr Roy B. V. B. Simorangkir, Assistant Professor in Electronic Engineering (roy.b.simorangkir@durham.ac.uk ) Contact information for technical difficulties when submitting your
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), Professor Lau and the Social Health Hub programme manager, to realise the objectives and development of the research programme into the social determinants of serious mental illness. You will have: Experience
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impact in academia and beyond. You will help the School of Economics achieve our objectives of providing a modern and dynamic curriculum that is attractive to students, and producing internationally
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strategy. Knowledge, Qualifications, Skills and Experience Knowledge &Qualifications Essential: A1 SCQF Level 10 (Honours degree) in Statistics/Computer Science or a cognate discipline, or equivalent. A2
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& Qualifications Essential A1 SCQF Level 10 (Honours degree) in Anthropology, Finance, Economics, Psychology, Sociology, or equivalent. A2 Applicants to the post of Research Assistant 1 should have a comprehensive
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of Computer Science, University of Sheffield. Prior to this he was an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur. See his personal website
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Engineering, under the leadership of Professor André van Schaik, one of the pioneers of the field of Neuromorphic Engineering. ICNS collaborates across the departments of Computer Science and Electrical and
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The Associate Professor of Primary Care and Public Health will sit within the NIHR Knowledge Mobilisation (KM) programme. The postholder will provide strategic and scholarly leadership in primary care and public
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by Professor van Schaik. What will you get in return: Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional
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or computer science, or a related discipline (or equivalent experience). A doctoral level qualification involving methodologies deploying advanced statistical, mathematical or algorithmic techniques, or directly