301 web-programmer-developer-"https:"-"UCL"-"U.S"-"PhD-Jobs"-"https:" positions at University of London in United Kingdom
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to A Level, or equivalent, and relevant experience as well as evidence of continuing professional development i.e., training and development courses. Previous experience in an administrative role and
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specialised skills to plan, create, commission and maintain digital content across our website, social media channels, e-newsletters and more. This includes video, audio, photography, graphics and other content
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relationship with the quality of perception sensor data. Develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor
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Manager to join Communications and Events on a permanent basis. You will support the Head of Editorial Planning in developing and implementing the School-wide Editorial Plan. You will play a crucial part in
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the Directorate annual plan relating to the areas of disability and neurodiversity support, be an institutional advocate for the student experience and provide capable and supportive leadership to the team. We
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research on the development and application of multiplex serological platforms to measure exposure and immunity to malaria, vaccine-preventable diseases and neglected tropical diseases. The post-holder will
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within Research and Innovation. This is a key role for the University, focussing on enabling the delivery of the University’s strategic plan and its commitment to challenge-led research and partnership
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31 December 2026. The post is funded by the NIHR Policy Research Programme and is available from 01 January 2026. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872
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challenges related to the use of raw camera data. Develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis
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the learning process. You will be able to develop novel and appropriate methodologies to support current research activities of the QMUL SPRING group (including: sensor modelling, noise factor analysis, machine