75 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Imperial College London in United Kingdom
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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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Funded by the Bezos Earth Fund, the $30m Bezos Centre for Sustainable Protein will apply cutting-edge Engineering Biology to accelerate the alternative protein revolution and transform global food
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will work within a highly interdisciplinary and international environment, collaborating closely with experts in research software engineering, technological innovation, environmental policy, and
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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
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sits broadly within the area of engineering biology and, more specifically, the development of alternative antimicrobials, including peptide and protein-based biotherapeutics. The post is also in
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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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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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Are you an experienced PMO professional who thrives on bringing structure, clarity and strong governance to complex programmes? Do you enjoy working with senior stakeholders and enabling teams
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imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams
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or closely related field (statistics, physics, biomedical engineering). - Experience communicating with multidisciplinary researchers. - Practical experience with large-scale real-world time-series data