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research and present your findings nationally and internationally. You will have a PhD* or equivalent professional qualifications and experience in photonics, optoelectronics, physics, engineering or a
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at the Mathematical Institute relates to modelling thermo-chemo-mechanical degradation. The postholder will be a member of the combined Oxford team involving mathematics and engineering and will interact with
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. About You You will have a PhD in computational engineering, applied mathematics, bioengineering, mechanical engineering or a related discipline, with strong experience in CFD or numerical simulation. You
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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modelling. About You Applicants should possess or be close to obtaining a PhD in physics, chemistry, materials science or engineering. They should be highly versed in materials synthesis and characterisation
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meetings, with opportunities to travel to conferences during the project duration. It is desirable that the person has experience in designing and testing ion thruster technology, magnetic reconnection
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This is a full time, fixed term position for 3 years. The post holder will undertake research to develop and optimise genetically engineered plants capable of removing methane from the environment
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foundation performance with renewable thermal energy exchange. Based within the University of Surrey's School of Engineering, the successful candidate will lead the project's computational modelling strand
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learning systems, including commercial products and research prototypes. The successful candidate will work alongside our dedicated software engineering team to design and implement a prototype AI tutor as
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footage, coordinate laboratory recording campaigns and human annotation of welfare states, and work closely with Ace Aquatec's engineering team to specify, train and evaluate AI/computer vision models