45 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" positions at Manchester Metropolitan University
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cloud infrastructure using Microsoft Azure and/or Amazon Web Services. Strong hands-on expertise with core cloud services across Microsoft Azure and AWS, including networking, storage, compute, security
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GPU acceleration, cloud computing, and distributed architectures, to enable efficient analysis of large-scale video datasets. Collaborate with clinical and academic collaborators, external partners
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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
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Programme Cycle to Work scheme Various other rewards and benefits. How To Apply: Your application must include a supporting statement which provides examples of how your experience and skills match each
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Computer Science, Data Science, Computer/Information Management, Management Information Systems (MIS), Business Information Systems or a related subject. Skills: Strong understanding of data protection, security
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on how to apply can be downloaded at https://candidates.perrettlaver.com/vacancies quoting reference 8306. For an informal discussion, please contact Daniel Munks at Daniel.Munks@perrettlaver.com
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*Please do not apply for this vacancy via the university website* For further details, including the job description and person specification, please visit https://plusportal.perrettlaver.com/ quoting
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technology sector—we recently achieved TEF Gold and an OFSTED Outstanding rating. The Department of Computing and Mathematics is a thriving academic community of over 80 staff and 2,500 students. We have
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets
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Process Automation (RPA) capability uses Blue Prism Cloud to create digital workers that automate repetitive, rule-based tasks, such as the determination of Fee Status for new applications