218 high-performance-computing-postdoc positions at University of London in United Kingdom
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Programme. In the NIDUS-Family trial, 302 people living with dementia and family carers set goals around their individual priorities and needs for living as well as possible at home. Two-thirds
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to providing high-quality teaching and maintaining respectful working relationships. We particularly welcome applications from women and those from an ethnic minority background, as they are under-represented
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, administratively support in-person examinations and prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail
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degree and other programmes. Providing assistance to assigned faculty whilst working closely with members of the administrative team, within and outside the department to provide a high-quality experience
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Sciences. This is a unique opportunity for an individual with a keen interest in growing their research programme in one of the most inclusive universities in the UK. About You The successful candidate will
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activities, including updating course webpages, producing performance reports, managing social media content and scheduling, and supporting campaign delivery across multiple channels. You’ll also liaise with
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and demanding situations, and who can demonstrate empathy and understanding. Ideally candidates should be able to demonstrate a commitment to providing a high level of support to students and will be
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and self-motivated postdoctoral researcher with a strong background in molecular and cellular biology, as well as computational biology. A track record of effective communication, teamwork and
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Fellow to be the training lead in the MAMI-GRIPPS Project (MAnaging Malnutrition in Infants u6m: Getting research into policy & practice, at scale). The project aims to inform and facilitate high-impact
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works in partnership with colleagues across the University to deliver a high level of service to our students. Applicants should demonstrate experience of credit control processes and knowledge