272 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" positions at University of Glasgow
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modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
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approach to student learning and assessment in the discipline and/or profession. 3. Participate fully in examination and other assessment processes, as appropriate, using a variety of methods and
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international profile in line with the University’s Strategic Plan - Inspiring People – Changing the World. (http://www.gla.ac.uk/about/strategy/people/ ) Knowledge, Qualifications, Skills and Experience
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Job Purpose To undertake research of international excellence and contribute to knowledge exchange activities relative to the discipline, contribute to learning and teaching on agreed programmes
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arranged following discussion with the relevant Training Programme Director in Haematology (currently Dr Ryan Rodgers). The purpose of a Clinical Lectureship is to ensure that candidates acquire a CCT, and
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celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow
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, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing
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to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a
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). Main Duties and Responsibilities 1. To be responsible for delivering an efficient and effective administrative service to support the College Student Services Advising function, school learning, teaching
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experience aligned to the goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2 Experience in machine learning and AI, including experience in machine learning