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the causes, prevention and treatment of disease. We are looking for a researcher to lead genome-wide association studies of wearable-derived phenotypes across large-scale population biobanks. You will
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between excited electronic states and the wildly vibrating atoms in these “soft semiconductors”. This can lead to the trapping of charge carriers and excitons (bound electron-hole pairs), shifted and
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understanding with language-based reasoning. Process micro-facial expression data more efficiently in computer vision and vision language models. Create a language-guided representation for subtle facial motion
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weeks. You will help deliver an outstanding student experience by supporting lead academics with classroom and lab teaching and assessment, further building the skills developed within your PhD research
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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diagnosis methods that combine analytical approaches based on drivetrain physical properties with AI-driven data analysis techniques to enhance the accuracy and effectiveness of fault detection and
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Qualification Type: PhD Funding amount: Refer to advert Discipline: Engineering & Technology Materials Science Other Engineering Physical & Environmental Sciences A fully funded PhD studentship is
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Ventricular Tachycardia (VT), a rapid and unstable heart rhythm that often arises from regions of diseased or scarred heart tissue. VT can lead directly to sudden cardiac death if not treated immediately. VT
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to use advanced techniques to investigate the behaviour of several elements such as iron, sulfur and manganese, examining processes including mineral precipitation/dissolution, sorption processes and the
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Developing and validating 3D-OCT-based tools for posterior eye shape characterisation Applications are invited for a fully funded three-year PhD studentship sponsored by Carl Zeiss AG. The