264 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at University of London
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be have excellent communication skills, be tactful and diplomatic and enjoy working collaboratively with colleagues on developing outstanding musicians and performers of the future. Completed
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work with the Head of Department and Vice Dean for Education and Student Experience to develop strategies to guarantee high qualities of academic provision and student experience. They will liaise with
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ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment
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, with the identification of trends and issues. Development of relationships within and outside the team, and positive feedback from all stakeholders. Up-to-date and accurate financial information for own
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including generous annual leave and training and development opportunities. The post is based in Egham, Surrey where the University is situated in a beautiful, leafy campus near to Windsor Great Park
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pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In
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position will work across all our campuses and will be a professionally qualified role within the health & safety team, working to support the development of service delivery and compliance with current and
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. The appointee will contribute to leadership of the FS programme, supporting the development of colleagues and fostering a culture of continuous improvement. They will also be instrumental in leveraging
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the departments’ and organisation’s strategic goals. The Business Systems Manager will collaborate with various departments and cross-functional teams to develop and manage strategies for the further development
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models