261 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" positions at University of Glasgow
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development and review of administrative processes to improve operational efficiency and the quality-of-service delivery. 8. Provide administrative support for funding applications, including coordinating
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culture of continuous improvement, supporting the implementation of process improvements that enhance customer experience, such as development of standard communication templates, process maps and activity
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business requirements and identify opportunities to better utilise or implement software that aligns with the university’s current processes, systems and needs. You’ll develop a deep understanding of
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labs to contribute to the delivery of research objectives. 2. Contribute to the overall smooth and efficient operation of laboratories across multiple buildings within the college to ensure an excellent
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. Providing advice and developing various upskilling approaches that increase the use and mainstreaming of key technologies. Furthermore, supporting the ongoing delivery of fully online courses, micro
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Development teams and/or Scrum Masters to create and add tasks to system backlogs as a result of issues discovered during testing. 10. Organise own workload within multiple projects by planning and prioritising
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Job Purpose To develop and maintain digital collections and discovery applications to support the University’s research and educational ambitions. This will entail enhancing existing systems and
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and set up office systems where required, suggesting improvements and contribute to continued development as the need arises. These key tasks are not intended to be exhaustive but simply highlight a
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online examination and assessments. Clerk to the Board of Examiners. Liaise with the external examiner and prepare all information required by him/her for pre-exam board scrutiny. Quality checking of exam
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environment); and developing and delivering practical support services for researchers facing challenges associated with data scale, complexity and sensitivity. They will help organise large data sets and model