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of 3 ½ years duration. The PhD studentship project will use state-of-the-art experimental structural biology and computational tools to gain a deeper understanding of the environmentally important
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the confinement of metal-organic frameworks (MOFs, Nobel Prize in Chemistry in 2025) as a case study, based on our pioneering work on shock absorption in hydrophobic cavities1. MOFs can offer tiny hydrophobic pores
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including the Ground Operations Laboratory in the Digital Aviation Research and Technology Centre (DARTeC), and the suite of facilities in the new Cranfield Hydrogen Integration Incubator (CH2i
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recognition, and diarisation. About the School and Research Group You will be a member of the Speech and Hearing research group in the School of Computer Science at the University of Sheffield and an
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Ability to follow instructions (evidenced by application) How to apply This is a multi-disciplinary program hence good candidates from chemistry, physics, environmental sciences or chemical engineering (or
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-adherence to asthma medicines. Evidence synthesis: To develop "programme theories" based on implementation science mechanisms on how hospital services can deliver behavioural interventions. Co-design: Working
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Location: South Kensington, London About the role: We are recruiting a postgraduate researcher to undertake a PhD project on the technology and protection of multi-terminal MVDC distribution systems
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, machine learning, deep learning, high powered computing (requiring Python etc) or a combination of data science and qualitative methods (e.g., interviews and focus groups). Project themes include (but
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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with the flagship EPSRC funded Programme Grant, Oncological Engineering, which focuses on secondary cancer (metastases) in the bone, as described above, principally of the spine, where it occurs most