70 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" uni jobs at Imperial College London
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delivery of high-quality communications, engagement and marketing activities across the Department of Chemical Engineering. This varied role will contribute to the production of digital content, delivery
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The Department of Bioengineering at Imperial College London is a global leader in education and research at the interface of engineering, medicine, and biology. Our work spans cutting-edge areas
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within the broad fields of climate change, energy, clean technology and the environment. During the initial three years, the position will be based at the Grantham Institute before formally transferring
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of maintaining relationships with stakeholders Experience of producing and delivering training Understanding of the structures, issues and trends affecting higher education and the student experience Understanding
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. Of particular concern are Gram-negative bacteria which possess two cell membranes, including a hard-to-penetrate outer membrane decorated with efficient efflux systems. These structural barriers severely limit
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–2050. Of particular concern are Gram-negative bacteria which possess two cell membranes, including a hard-to-penetrate outer membrane decorated with efficient efflux systems. These structural barriers
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Admissions Managers within the Faculty of Engineering, you will share responsibility for leading and developing our admissions operations. Collaboration, flexibility, and open communication will be central to
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support and development to our departments, acting as a trusted partner across the Faculty of Engineering. The Faculty is a varied, busy, and complex environment. You will work closely with our ten
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Imperial College London, seeks 4 Assistant Professors / Associate Professors to join the Department of Computing within the Faculty of Engineering. The Department of Computing at Imperial is a
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The Department of Chemical Engineering is seeking a research associate to lead the development of advanced methodologies for large-scale parameter estimation for thermodynamic models based