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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
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Master’s degree (or other equivalent experience). Suitable backgrounds for these PhD positions include, but are not limited to, power engineering, industrial engineering and operations research, mathematics
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or computational modelling is desirable but not essential; applicants should demonstrate strong academic performance, resilience in the face of research challenges, a proactive attitude to learning and a willingness
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seeking a full-time Research Assistant (“pre-doc”) to work closely with Dr. Misato Sato and Dr. Aurélien Saussay on several research projects at the intersection of environmental economics and labour
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to applicants with published research or exceptional academic performance. Experience in computer vision or audio processing is desirable and will be considered an advantage. A doctoral candidate is expected
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. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will run the project
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on the diversity of our research groups. Among them, the Marine Autonomy and Robotics Group is internationally recognised for its pioneering work in marine autonomy, sustainable vessel design, maritime
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university with a powerful civic mission, dedicated to addressing real-world challenges through research and innovation. As a Chancellor’s Scholar, you’ll benefit from: Expert supervision: Work closely with
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the support of leading biomedical researchers with strong ties to radiology, your work holds the promise of making significant impacts on patient care and advancing the field of cardiac health. What is offered
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to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By