417 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Nottingham
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, including staff discounts, travel schemes, excellent training and personal development opportunities, and a generous holiday allowance of 27 days, plus standard bank holidays. You will also have access
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that vision. You should be someone who embodies this culture, demonstrating continuous improvement in all that you do, whether it is personal development or your day-to-day work. What we offer This role will be
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, you will report into the Associate Director of Employee Relations. Your role will be to lead on the development, review and implementation of HR policies, ensuring that they reflect best practice
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to academic colleagues from bid development through to project delivery and close‑out. You will oversee project finances and resources, ensure compliance with University and funder requirements, support audits
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, with significant proven experience of end-to-end campaign management. Working in our Student Recruitment Marketing Team, you will be responsible for working collaboratively to plan, design, implement and
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reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through the provision of training, continued support, and career progression opportunities You will
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rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. We are committed to staff development through the provision of training, continued
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Team, a highly skilled and dynamic group supporting multiple buildings performing multi-disciplinary teaching and research. You will provide senior technical support to the School of Medicine, plan and
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university closure days including closure between Christmas and New Year. · Our reward scheme grants bonuses of numerous values for excellent work · We are committed to staff development through the provision
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happens when these two ideas are unified under a single energy-aware framework. This PhD will develop principled methods for jointly optimising which data and which weights are updated during training