121 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"P"-"U" positions at University of London
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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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acquisition. The position will appeal to graduates with a strong interest in imaging wishing to improve their skills and experience prior to entering or applying for a residency programme, or before returning
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is the opportunity to perform; in an average year, the Academy runs a vibrant programme of around 500 events. Philanthropy plays a significant role in the life of the Academy and supports our mission
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for developing and extending the ICS’s existing researcher training programme, working with key partners in the School, such as the Doctoral Centre . They will be expected to develop national and international
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. The appointee will be expected to develop their own research projects within the context of the overall research programme and obtain independent research funding to support their research. The post holder would
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, engaging with students, academic Module Organisers, teaching teams and Programme Directors. About You You will be educated to degree level or equivalent and have relevant experience of working in a higher
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students, including supporting undergraduate and postgraduate research projects. This position will suit those keen to collaborate closely with our cardiothoracic surgery programme, which regularly performs
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daily work. Educated to A-Level standard or with equivalent experience, the successful post holder will have the ability to make decisions and work as part of a team, and plan, manage and prioritise
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universities for music, ranked no.1 in the UK for music research (Complete University Guide 2022–26, Times Good University Guide 2022–26). Our vibrant programme of music performance encompasses classical
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. About You The ideal candidate will have a PhD in a numerate field, be familiar with medical image analysis using deep learning methods, have experience with GitHub and relevant programming languages