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to the research project “Sustainable Wearable Edge InTelligence (SWEET)”. The successful candidate will develop theoretical concepts in transprecise computing in the application domain of health analytics using
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at LSHTM. Applications should be made on-line via our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a dedicated and motivated
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the NIHR Research for Patient Benefit programme, with the aim of developing and refining a multi-component behaviour change intervention for reducing delay and increasing identification of work-related
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Sciences. This role offers the opportunity for hybrid working – some time on campus and some from home. We welcome applications from candidates interested in working part-time hours or job-sharing
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. Applicants should be aware that ARU will carry out online searches as part of the due diligence on short listed candidates. We value diversity at ARU and welcome applications from all sections of the community
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to make a breakthrough in the application of machine-learning forecasting methods for West African agriculture. The project is led by the UK’s Alan Turing Institute, with partners in Senegal and Ghana, and
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Cardiovascular Theme (BRC4), and the post-holder will actively contribute to the BRC4 research outputs, grant applications, and translational research proposals. Only applications received before midday
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cells in invertebrates. This Leverhulme Trust funded post is available from 1 February 2026 to 31 March 2027. The successful applicant will carry out experimental and computational work related to
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Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected