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of functional materials through biological fabrication processes. One key area of research is the exploration of the engineered living materials for a wide range of applications including the construction
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A competition for the fully funded Ashby PhD Scholarship in the area of Mechanics and Materials is now open at the Department of Engineering, University of Cambridge. The Scholarship, endowed in
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algorithmic learning.) The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a
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Deadline: 11:59pm, 30th November 2025 Host University: University of Nottingham School/department: Engineering Start date: Wednesday 1st April 2026 Funding offer: Tuition fees covered in full (worth
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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, which also includes PI Dr Field, postdoctoral researcher Dr Milan Terlunen, and Research Software Engineer Dr Nicolas Seymour-Smith. The PhD project will focus on the relationship between obscenity and
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. They are integral components of oligonucleotides (DNA and RNA) that encode the proteins required to control biological processes. Nucleosides are also omnipresent within enzyme cofactors (NAD+/H), as cellular energy
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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
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using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands of diverse industrial processes. While mono-material felts offer simplified recyclability, blended
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hoods for materials research . These facilities represent Queen Mary's commitment to renewable energy research, with research expertise spanning material development, processing, characterisation and