140 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at Imperial College London
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enabling the effective leadership and smooth running of the Department of Computing. This is a pivotal, position that supports the HoD, the Department Management Committee (DMC), and the Director of
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? Are you passionate about societal engagement, and do you want to make an impact? This is an opportunity for you! In this role, you will collect evidence of health impacts from heat globally and develop
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Imperial currently ranks as the 2nd best University in the world and 1st one in the UK and Europe. Bioengineering is a fast-paced multi-disciplinary department at the forefront of its field
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Founded in 1907, Imperial is one of the world’s great universities, renowned for ground-breaking research, an exceptional community of staff, students and alumni, and global reach. Our mission is to
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This is an exceptional opportunity to be involved in how artificial intelligence is adopted and diffused across the UK’s key productive and industrial sectors, and to contribute to global policy and
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Imperial College London is seeking a proactive and experienced Technical Security Operations Coordinator to join the Security and Community Safety Team, based primarily at the South Kensington
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of this Prosperity Partnership is to translate the UK’s scientific leadership in Flow (Bio)Chemistry into industrial leadership and commercial value; to realise a step change in the implementation of continuous flow
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of the Makerspace and its projects and keeping abreast of innovations in makerspace technology to ensure that this makerspace is an exemplar. We are looking for a candidate who has experience in managing a team, a
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sites for the PAPA Trial and the Protect-HF Trial. The PAPA Trial is a randomised, double blinded, placebo-controlled trial. The aim is to assess the safety and efficacy of house dust mite allergen
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scale-up of chemical processes. The role will focus on using high-density experimental data from transient flow systems together with advanced machine learning techniques, including multi-fidelity