374 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Nottingham in United Kingdom
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innovative teaching methods and supporting the development of teaching practice for all academic staff. The post is offered on a full time (36.25 hours per week) permanent basis. Job share arrangements may be
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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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, 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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committed to staff development through the provision of training, continued support, and career progression opportunities You will have access to a range of benefits and rewards, including fitness and health
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development and therefore the importance of providing opportunities, structured support and encouragement to engage in professional development each year. To find out more about the School of Medicine, its
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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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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