90 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at King's College London
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this dynamic ecosystem. PharosAI has been awarded £18.9M in Research Venture Catalyst funding from the UK government (Department for Science, Innovation, and Technology); and cash and in-kind
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, clinicians, engineers, physical scientists, and data experts who share a mission to transform the lives of people living with heart failure. Heart failure affects more than half a million people in the UK, and
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to clinical partners. The role requires executive‑level leadership with the ability to influence across complex organisational structures, supported by sound judgement, strong political acumen, and the
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to clinical partners. The role requires executive‑level leadership with the ability to influence across complex organisational structures, supported by sound judgement, strong political acumen, and the
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& Medicine. Department: London Inst. for Healthcare Engineering. Contact details:Laura Zappulla. laura.zappulla@kcl.ac.uk Location: St Thomas Hospital. Category: Professional & Support Services. About Us The
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About us The positions will be based in the Engineering Department at King’s College London. The recently re-founded Department is rapidly expanding into a world-class research and teaching
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to understand experiences and operational constraints, co-design workshops to map vaccination journeys and variation in delivery models, and a structured barrier analysis to identify challenges, resource
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About us The Department of Engineering builds upon this reputation with a focus on emerging technologies, with research in sustainable systems & manufacturing, telecommunications, robotics, and
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INTERNAL CANDIDATES ONLY About Us We are seeking a collaborative and proactive Research Assistant to join Prof Christos Bergeles’ Group in the School of Biomedical Engineering & Imaging Sciences, King’s
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and