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lead to transformational developments for the chemical industry and associated energy technologies. This project, which is funded by the Royal Academy of Engineering, will involve the selection
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The world is moving rapidly toward renewable energy. Hydrogen is at the forefront as a clean fuel, but its safe storage and use at high pressures require advanced, reliable technology. By joining this project
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skills used in academic research and industries (including mechanical, aerospace, automotive, energy and biomedical engineering). Flexible start date! What You’ll Need A first-class or upper second-class
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21 Aug 2025 Job Information Organisation/Company University of Cambridge Department Department of Engineering Research Field Neurosciences » Neuroinformatics Engineering » Control engineering
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requirements: You should be enthusiastic and self-motivated with a first-class/high 2:1 degree in a relevant engineering or physical science discipline (e.g., geophysics, earth science, geospatial
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between Home and International fees. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme
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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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-class/high 2:1 degree in civil or geotechnical engineering. A relevant master’s degree and/or employment experience will be an advantage. English language requirements: Applicants must meet the minimum
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University is excited to announce that the new School of Architecture, Built Environment, Computing and Engineering (ABCE) is launching a call for up to 36 PhD students to join the School and carry out a
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, highlighting the need for standardized practices in this field. If robust and reproduceable, DIC would transform the field, from tissue scaffold design in tissue engineering evaluation to surgery. The student