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mosquito vector. This is to dissect the protein network and how key novel signalling proteins are involved parasite proliferation stages. The work will involves gene targeting both conditional knockdown and
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, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For further information please contact
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diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing . This is a full-time and fixed term post for 3
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mosquito vector. This is to dissect the protein network and how key novel signalling proteins are involved parasite proliferation stages. The work will involves gene targeting both conditional knockdown and
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within the AI in Science research remit. Fellows will join the Eric and Wendy Schmidt Network of researchers and will join a unique co-located cohort of top scholars based in the I-X AI in Science Centre
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hydrometeorological and climatological) hazards, involving the quantification of effects on individual assets/infrastructure components (e.g., buildings) as well as network-level and distributed-system disruptions; 2
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and networks Help with training Master and PhD students and other group members who are working on similar areas Supervise student's projects at both undergraduate and postgraduate levels Person
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Network of Excellence (GNoE) funded by NHS England. This project is designed to transform the understanding and management of patients with life threatening infectious disease, through the application
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, postgraduate and distance learning. Family friendly policies, staff networks for BME, Disabled and LGBT staff, membership of Athena SWAN, the ECU Race Equality Charter and Stonewall as well a full range of
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the University of Dundee a UK university of choice for undergraduate, postgraduate and distance learning. Family friendly policies, staff networks for BME, Disabled and LGBT staff, membership of Athena SWAN