71 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Imperial College London
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This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
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The Julia Anderson Training Programme provides individuals at an early stage of their career with hands-on experience working on projects or activities at the Institute of Global Health Innovation
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, research centres and capital projects, and delivers a strong engagement programme for alumni. Alumni of Imperial play a crucial role in supporting the university’s long‑term success, benefiting from a global
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and experimental validation. This will include applying and extending deep-learning approaches such as RFDiffusion and ProteinMPNN, developing in-house computational workflows, and carrying out
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prioritising key audiences across government, industry, sector bodies, research funders and international partners, and building a coherent programme of engagement activity that advances the Centre’s objectives
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force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence Science focused
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, independently driven delivery focus, with the ability to manage multiple programme initiatives to completion through well-developed organisation, coordination and facilitation skills The chance to deliver a new
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methodological challenges and contributing to research with global relevance and real-world impact. The opportunity to work on a high-profile, internationally funded research programme at the forefront of AI, data
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postgraduate teaching programmes including the development of a proposed new undergraduate programme in Data Science for Health. You will carry out research and teaching activities and raise research funding
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these into clear, actionable recommendations to programme/project boards as well as Operations and Infrastructure Committee. You will work closely with colleagues in the Portfolio team to evidence and drive data