57 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at University of Glasgow
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both independently and flexibly as part of a high performing team with excellent stakeholder management skills. Experience Essential E1 Experience of working in an office environment, and the capability
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Programmes, the one-year duration will remain the normal duration. Main Duties and Responsibilities Clinical: 1. To support the small animal neurology referral service by providing, under supervision, a high
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Programmes, the one-year duration will remain the normal duration. Main Duties and Responsibilities Clinical: 1. To support the small animal oncology referral service by providing, under supervision, a high
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, a high-quality service and appropriate advice to external referring practices and owners, to help support a clinical referral workload necessary to support the commercial, teaching and scholarship
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, tutorials, hackathons and data study groups. 7. Advise on and develop plans to enable research colleagues to use high-performance computing facilities in the Schools, College, University and wider computing
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Job Purpose The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https://www.crukscotlandinstitute.ac.uk/, working with Principal Investigator, Dr Stephen
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of the company’s strategic aim of delivering a high quality student experience. This will involve liaison with the School of Engineering, the School of Computing Science and the School of Nursing at the University
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performance computing and cloud platforms to realise collaborators' data science and AI research at scale. A4 Knowledge of software development practices for research including collaborative environments with
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Research Assistant COLLEGE OF MVLS SCHOOL of Cancer Sciences GRADE 6 Job Purpose You will contribute to the CRUK-funded programme, IAMMED-Meso, working with Professor Daniel J. Murphy and the
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longitudinal data modelling, High-dimensional data analysis A3 Strong knowledge of computational tools including: Differential equation-based modelling (ODE/PDE tumour models), Bayesian or Monte Carlo inference