344 web-programmer-developer-"https:"-"https:"-"University-of-Cambridge" positions at KINGS COLLEGE LONDON in United Kingdom
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workload within administration in HE, in particular programme approval and development processes. Desirable criteria Educated to degree level or equivalent experience. Experience in the use of databases
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programmes span pre-registration nursing and midwifery, and multidisciplinary post-graduate taught and research programmes. We are committed to staff development and offer opportunities to identify and access
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About us The King’s community is dedicated to the service of society. King’s Strategic Vision 2029 sets out our vision for the future, shaped around five priority areas: educate to inspire and
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closely with programme and other leads to support the delivery of research programmes, career development and capacity building activities, and engagement and impact initiatives. You will lead a
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change and responding to the needs and aspirations of the communities we serve is at the heart of everything we do in IES. Our team leads some of King’s most impact-driven programmes, including One King’s
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for interpretation by self and others. Ability to work independently to take ownership of tasks, plan and prioritise workload, ensuring a timely response and to meet deadlines. Excellent interpersonal skills and
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already commenced training in general cardiology and wish to gain more sub-specialty experience in Cardiac MRI (CMR), by taking an Out-Of-Programme Experience (OOPE) from their current training programmes
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Development of new programmes and teaching initiatives Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description
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-supervise clinical and non-clinical researchers (including PhD and MD students). To take an active part in undergraduate and postgraduate teaching and training. To develop an independent research programme
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ambitious individual to who will play a key role working on a project focused on the development of a multiomic platform to investigate early molecular signatures of ALS pathology in human motor neurons using