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for this position should possess a degree in mechanical engineering, chemical engineering, or energy engineering, complemented by a PhD in a closely relevant engineering discipline. A proven track record of
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of a metastatic vertebra, coupled to a tumour model (under development by collaborators in UCL Mechanical Engineering), that can predict the stress distribution generated by a set of typical loading
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team and network, comprising world-leading players in the creative technology R&D space from both academic institutions and industry, across the UK. Our delivery partners include Olsberg SPI, ARUP, Data
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research group for a medical statistician or epidemiologist to work on a highly innovative research collaboration with University of Hong Kong (HKU), funded by Innovation and Technology Commission
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About us The UCL Faculty of Engineering is the largest of its kind in the UK, ranked as the second most impactful engineering faculty in Europe and first for Research Strength in the Research
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months in the first instance, whilst a renewal of the contract is possible. About You You should have a PhD (or nearly obtained) in the area of Mechanical Engineering, or related disciplines. You are
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experience in one of the following disciplines: climate finance, business and economics, engineering, transport or energy studies. Candidates should have a strong research background, which includes social
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, engineering and development studies. The candidate will have a rigorous methodological training in mixed methods and will be able to collect and use different types of evidence to inform research and business
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motivated and have an advanced degree (Ph.D.) in computer science, electrical or biomedical engineering, physics, statistics, or related fields. Previous experience in software development practices (version
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PhD in mathematics, physics, engineering, computer science, or a related field are invited. Experience with computational fluid dynamics, numerical simulation and scientific computing is essential