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management of sensitive information/issues. Experience of producing and analysing complex source material, information and data. Enthusiasm and willingness to learn, meet challenging demands, work to different
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quantitative data, particularly related to research impact. Be confident in translating complex information into clear, accessible and engaging narratives tailored to different audiences. Possess excellent
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University of the Arts London, London College of Fashion; | London, England | United Kingdom | 1 day ago
Student Records and Data Quality network, you will play an active role in shaping best practice across the University. This is an opportunity to combine strategic influence with operational leadership
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, supporting the delivery of strategic people and culture priorities. Through the work you will undertake in this role, you can help us make a difference to the experiences of our staff and students. As OD
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BACnet systems to include complex building HVAC system applications and engineering, LANs commands/configurations, alarming, scheduling, proprietary interfaces, integration and system management, PC
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the job title "Radiology Supervisor") must be able to perform a variety of routine and complex tests in all areas of the department as needed. Areas include but are not limited to General Radiography
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This role is critical to the safe delivery of the Modern Network Project, the aim of which is to provide high-performance network for our world-class campuses. It is the single biggest investment
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in the People and Finance Divisions, and the University’s communications networks to coordinate and deliver high-quality content across a range of internal channels, manage feedback, and assess
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. These networks help RCSI to foster a sense of community and inclusivity. Sports and Social Club: Engage in a variety of activities such as Yoga, Pilates and a variety of different Fitness classes. Enjoy social
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. Both methodologies represent substantial advancements in the theoretical understanding of neural network dynamics and highlight different mathematical aspects of network "trainedness". By rigorously