115 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at Imperial College London in United Kingdom
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to graduation—across all programme types. Working within regulatory frameworks and alongside senior colleagues, you’ll help ensure decisions are correctly implemented and communicated. You will also lead core
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programme on the role of climate change in health impacts during heatwaves Further develop the Institute’s capability to conduct rapid health impact attribution at the global level Actively participate in and
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consistent focus on value for money. Providing senior leadership oversight on all procurement and contracting processes, including developing and executing category strategies, improving procure‑to‑pay
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to join a multidisciplinary team at the forefront of cancer prevention research. Tailored training programmes to support academic career development. Sector-leading salary and remuneration package
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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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of governments, businesses and researchers. CADI is supported by the UK Department for Science, Innovation and Technology with a remit to develop science-policy interfaces to aid the adoption of transformative AI
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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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between academic teams, industry partners, and internal College services, ensuring the Lab is positioned to deliver impactful research, training programmes and external partnerships. This role requires
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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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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