93 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Imperial College London
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Division help manage one of the largest built estates in the University sector and delivers a comprehensive range of services to an academic community who are world leaders in the provision of Engineering
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are structured to support downstream clinical, statistical, and machine learning analyses. Through this work, you will enable robust, scalable research and contribute to a broader goal of improving understanding
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the organisational and relationship-management skills needed to deliver multiple schemes effectively. You will ideally have: Experience working in a student-facing, employability, careers, higher education or graduate
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support our students across multiple campuses. Departmental work aligned to this role may include, but is not limited to, Life Sciences, Civil Engineering, and Design Engineering. Project activity may span
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achieve enduring excellence in research and education in science, engineering, medicine and business, for the benefit of society. Our strategy, Science for Humanity, is ambitious and positions Imperial as a
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spans multiple years and involves close coordination between academic units, professional services, digital systems and external requirements. REF 2029 will require the integration of diverse data sources
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. Understanding of the UK school system and the application process to higher education Excellent organisational skills, including the ability to coordinate your own workload, prioritise multiple tasks, and take a
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is
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. 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 applications across the UK
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major