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technologies enable our students, staff, researchers, visitors, and partners to confidently and creatively use digital services, technology and data for the benefit of their learning, teaching, research or work
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required to understand complex information, feed into strategic plans and data exercises and then communicate important information and decisions in a concise and compelling manner. The post-holder will
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, navigating complex environments and representing the University externally. You will be highly organised, values-led, and adept at using data, insight and sound judgement to drive meaningful results. Knowledge
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. They will demonstrate the ability to manage multiple priorities, work under pressure and maintain excellent attention to detail. Key responsibilities include managing event data and evaluation processes
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 3 months ago
function in the Safety and Surveillance group. Within a week of working here, your day could look like this: help shape the UK Government’s premier data-driven research service. You will participate in and
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project will compare the use of two different methods of catching and handling commercial poultry during loading for transport. The project will involve the collection of behavioural data and other measures
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the current titers through process parameter optimisation and develop a multi sensor flask system to accelerate scale-up data collection . You will focus on the development of continuous fermentation and
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lunch plus other benefits commensurate with working for a large Cambridge University College. How to Apply Further Information The Job Description (PDF) is available here . The closing date is Friday 27th
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delivery, leading information literacy and digital fluency teaching, and developing innovative, digitally-enhanced services aligned with emerging pedagogies. Open research where you will lead the strategic
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calibration and artefact mitigation. · Develop and maintain reconstruction and data-processing pipelines using Python programming tools. · Implement quantitative 3D analysis workflows such as