174 programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Prof"-"O.P"-"U.S" positions at University of Cambridge in United Kingdom
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the College’s main conferencing programme and purely student-focused activities. The group also ensures that these events are properly supported logistically by the College and are communicated clearly and
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into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
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that the extensive programme of training sessions, workshops, lectures and conferences available to students are administered professionally and efficiently. The role-holder will also be responsible
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experience managing, motivating, and developing service teams Can prioritise and deliver multiple areas of work efficiently and effectively Can lead and support teams through periods of change and process
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establishment or research facility. They will be organised and motivated to manage their own workload, with a proven record of meeting multiple deadlines. Educated to A Level standard (or equivalent) with
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wide range of student sponsors and Funding Councils, and the different working practices of multiple Doctoral Training Centres and Programmes. The Postgraduate Administrator is supported by the full-time
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Assistance Programme On-site parking To download an application pack please visit www.emma.cam.ac.uk/about/jobs .Completed applications should be marked ‘Strictly Private & Confidential’ and sent via email to
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to communicate clearly, manage multiple tasks, and work both independently and collaboratively will be essential to your success in this role. We are looking for someone with: Previous experience in administration
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About the division/school: The Mastercard Foundation Climate Resilience and Sustainability Program is a flagship partnership between the University of Cambridge and the Mastercard Foundation
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research group. The successful candidate will benefit from building upon novel datasets, exciting preliminary findings, and using unique experimental model systems. Techniques will include multiple imaging