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should be both chemically and mechanically stable under typical industrial conditions moving from post-combustion process to direct air capture (DAC) technology. However, there will be a particular focus
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. The core innovation is embedding expert judgement, regulatory constraints, and equity objectives directly into policy learning using structured preference feedback and explicit constraints. The framework has
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Physics-Informed Digital Twin for Guided Wave-Based Structural Health Monitoring (SHM) of Offshore Wind Turbine Foundations
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reinforcement for composite structures. in IOP Conference Series: Materials Science and Engineering vol. 254 (2017). Weatherburn, A. et al. Biomimetic polypropylene-carbon intra-ply hybrid 3d woven composite with
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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, material properties and formulation behaviour, the project will explore how implant structure can be designed to regulate drug transport and provide sustained therapeutic release. The overall aim is to
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, or computational methods is desirable but not essential. Candidates from non–human factors backgrounds will receive structured training in human factors and experimental methods, while candidates from engineering or
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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% remotely) More information about working at the School can be found on our jobs page . About the role The Oxford Programme for Cyber and Technology Policy (OxCTP) is seeking to recruit a variable hours
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We are seeking a Research Associate to design, fabricate, analyse, and test unique microbubble structures and compositions that can be triggered using ultrasound pulses. The research aim is to