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outputs based on expert knowledge in area of practice. This role demands a high level of expertise in computer networks, focusing on creating, managing, and optimizing large-scale WAN networks based on SD
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field of work, with the right mix of challenge and support, you’ll gain fantastic experience, and room to develop and advance your career. We are proud to have been recognised through numerous
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and development opportunities to help you pursue your chosen career. We are proud to have been recognised through numerous accreditations and awards that demonstrate our commitment to creating a
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and their members with excellent administrative services and support, enabling our student group leaders to run an exciting and varied programme of community building events and activities
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be adept at analysing hip and knee images to obtain accurate measures of joint shape and radiographic osteoarthritis. They will be expected to be able to use advanced coding methods in Python, R and
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of challenge and support, you’ll gain fantastic experience, and room to develop and advance your career. We are proud to have been recognised through numerous accreditations and awards that demonstrate our
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. metabolomics, proteomics) data in large cohorts Expertise in using standard statistical methods (e.g. regression models) expertise in performing causal inference analyses (e.g. Mendelian randomization, within
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and full familiarity with on-premises open-source cloud solutions like OpenStack. You will provision of specialist solutions within hybrid cloud computing including both public cloud providers and on
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for policy. Experience with AI/machine learning/data science methods. Proven experience of collaborating with relevant non-academic stakeholder partners (e.g. WHO, MSF). Outstanding publication record
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such as Juniper and Fortinet, AWS cloud resources, etc. Develop creative and innovative solutions in area of expertise, to advance research methods and practices, contributing to university strategy and to