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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour of polycrystalline metals. The post holder will be located in Central Cambridge, Cambridgeshire,...
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This project aims to enhance best practices in strain quantification for biomedical applications, facilitating the transition of image-based measurement methods from laboratory research to clinical practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique...
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Application deadline: 16 June 2025 16:00 GMT Atrial fibrillation (AF) is the most common heart rhythm disorder, but understanding its causes is challenging due to its complexity. It involves triggers like abnormal electrical signals (focal triggers) and swirling patterns of electrical activity...
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chemistry, physics, materials science, computer science or other related discipline. This 42-month studentship comes with a budget for training, conference attendance as well as for travel between Birmingham
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density...
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-class honours degree, or suitable postgraduate degree in computer science, human factors, psychology, social science or a health or social care related subject. Funding notes: This PhD scholarship is
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PhD Studentship: Electrical Machine Architectures for Next-Generation NetZero E-Mobility. the University of Nottingham This project offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC)...
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This project offers an exciting opportunity to undertake cutting edge research in electrical machines within the globally renowned Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor...