158 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at King's College London in United Kingdom
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responsible for planning and delivering communications related to projects as per the programme communications plan, ensuring successful change management outcomes, and leading, motivating, and directing staff
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Good computing skills Ability to work to clinical and scientific deadlines and to plan and prioritise workload Ability to work in a multidisciplinary team and without close supervision Desirable criteria
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to contribute to work that supports student success and equity in higher education, and who wish to utilise their skills in project delivery, partnership working and programme coordination. We encourage
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student lifecycle and maintain up to date knowledge of programme and university regulations and protocols. They will need to be able to use this knowledge to provide accurate and timely guidance
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) and health faculty leadership to oversee the development of our academic strategy for campus development, delivered through the Campus Futures Programme, to integrate our institutional ambitions in
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positions will be working with our Chair of Palliative Care and Child Health, Lorna Fraser. Post 1 will support an NIHR funded programme, Improving Care for children with life-limiting Conditions: developing
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strategy implementation, integrated planning, investment prioritisation, and programme portfolio management. The post-holder will work on a range of strategic special projects across a broad spectrum of the
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approach to engaging diverse stakeholders. Advanced project and programme management capability is essential to ensure that strategic initiatives are well‑structured, efficiently delivered, and aligned with
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, engineering, psychology/HCI, computer science, or related discipline). For the appointment as the Research Fellow, a PhD degree is essential. Demonstrable experience coordinating complex projects or programmes
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About us Our primary mission is to facilitate world-class computational and data-intensive research by bridging the gap between complex IT infrastructure and academic discovery. The department