98 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" positions at Imperial College London
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. Coordinate modelling activities across multiple projects and deliver high-quality outputs on time. Integrate new methodologies, including AI and machine-learning approaches, into simulation design. Conduct
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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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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
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across multiple areas of work with an organised and strategic approach Is confident running training, chairing meetings and giving presentations Is collaborative, supportive and has great people skills
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. Excellent team management skills with evidence of the ability to manage and motivate a team to delivery multiple work streams to agreed deadlines and quality standards. Excellent written and verbal
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excellent organisational skills, diplomacy, and attention to detail. Educated to a minimum of A-level or equivalent, with inclusion of a STEM subject. A degree in a relevant science or engineering discipline
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solutions. The research will involve working with partially labelled data, performing unstructured and semi-structured data analysis, and applying supervised and unsupervised learning approaches to develop