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successful candidate will have the aspiration to develop our KE portfolio, world-class research activity and the drive and commitment to contribute to and develop our teaching programme. The successful
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fairs, agent training events, and exhibitions. Plan and execute international travel schedules, working within pre-approved budgets and timelines. Build and maintain positive relationships with in-country
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with the agencies and school counsellors that appointed under the candidate’ portfolio. Plan, prioritize, coordinate and attend school visits, exhibitions, roadshows and other outreach activities
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relationships with academic and professional service colleagues, including the Executive Deans, programme directors, and wider MRAC colleagues, to develop and drive activity. Create and share a broad range of
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theoretical understanding of statistical machine learning methods relevant to the project: Bayesian learning, machine learning, spiking neural networks. Experience of programming (e.g. with Python) and data
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which are not outlined above but which are appropriate to the position and grade. Your personal objectives (Forward Job Plan) will also set out specific tasks and objectives for you to achieve, including
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development. Key Duties and Responsibilities The successful appointee will be expected to undertake the following: Plan and manage the activity of the project in line with the identified workplan. Produce a
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-year research programme into Integrated Quantum Networks (IQN). The IQN Hub is supported by an initial £21.8M award from UKRI and additional industrial support, including ‘in-kind’ and direct financial
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recruitment events, manage enquiries, and bookings and work with the CRM team to coordinate pre-event and follow up communications to maximise attendance for the assigned programme, Assist the Domestic
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: The Digital Student Experience Programme – migrating our Student Records system to Azure Re-architecting on-premise systems for the cloud Implementation and migration of our new virtual server infrastructure