427 parallel-programming-"NTNU-Norwegian-University-of-Science-and-Technology" Fellowship positions in United Kingdom
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machine learning/AI or cybersecurity, or both, as evidenced by a strong track record of publications in leading journals and conferences in relevant areas. Software programming skills. To be successful
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of the Incredible Years parenting programme delivered to children aged 3-7 years of age with very high levels of antisocial behaviour and then followed up in adolescence. The postholder will be responsible
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be doing? The appointed researcher will be part of the Academic Centre for Mental Health and lead a programme of work focussed on analysing routine data and data collected by the Centre for Pesticide
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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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programme delivered to children aged 3-7 years of age with very high levels of antisocial behaviour and then followed up in adolescence. The postholder will be responsible for conducting analyses
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: Proficiency in at least one programming language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in
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), and a detailed research programme (maximum 5 pages), and names of two referees. Please send as a single PDF file. The University of Oxford is committed to equality and valuing diversity. All applicants
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the College’s research programme, as well as being able to teach high-achieving graduate students. Additionally, they will possess excellent oral and written communication and interpersonal skills and
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This research assistant post provides an exciting chance to support a Cancer Research UK funded programme of research that aims to improve access to lung cancer early detection for individuals with
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researcher will be part of the Academic Centre for Mental Health and lead a programme of work focussed on analysing routine data and data collected by the Centre for Pesticide Suicide Prevention (CPSP