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We are seeking to appoint an Academic Programme Assistant to provide administrative support for the Genomic Medicine MSc course. You will provide support with all aspects of teaching delivery in
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the Hasso Plattner Institute. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor Paul Goldberg
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with expertise in obstetrics/obstetric medicine to play a senior role in delivering this highly clinically important research programme. The role will give you wide exposure to different research
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-time for 12 months About us: At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and
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About the role We have an exciting opportunity to join the Kavi Institute for Nanoscience Discovery (KINsD) in the Department of Chemistry as a Postdoctoral Fellow supervised by Professor Dame Carol
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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We are looking for an enthusiastic and motivated Receptionist to join the OCMR team. This position serves as the first point of contact for patients visiting the MRI Cardiac clinic, as well as for visitors to the OCMR research facility. The successful candidate will be expected to provide a...
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responsibilities include: 1. Meeting Rooms and Audio-Visual Support: Prepare meeting rooms based on the Computer-Aided Booking System (CABS) schedules, ensuring appropriate furniture and equipment setups meet
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successful candidate will hold a doctorate in the general area biomedical engineering, information engineering, electrical engineering, computer science or in a cognate discipline relevant to the requirements
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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow