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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero Centre (RAINZ) which is a partnership between three of the UKs leading
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Assistant Professor appointment supporting the department's MR Research Center and Children's Hospital. The MR physicist will work with the clinical faculty and researchers on implementing, evaluating, and
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Ambrosio-Albala - P.Ambrosio-Albala@leeds.ac.uk Dr. Harriet Thew - H.Thew@leeds.ac.uk Project summary This PhD is affiliated to the JUST (Joined-Up Sustainability Transformations) Centre, a new multi
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. The project aims at developing a computational methodology that integrates various types of causation to design/build agent-based models capable of establishing reliable causal claims about multi-level social
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. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and
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. Core research themes include: Environment cooperative perception and infrastructure-assisted sensing Multi-sensor calibration and real-time sensor fusion Eco-driving and optimal control for energy
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constraints. This studentship is associated with the Healthy Low Carbon Transport Hub, a large multi-disciplinary research programme on the health co-benefits of low-carbon transport interventions led by
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Shenyang University of Technology is a multi-disciplinary research and applied university with a focus on engineering. It is a first-class university in Liaoning Province, China. It is selected as
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Neuroscience Center. The Deep Cognitive Neuroscience lab The successful applicant will join the Deep Cognitive Neuroscience lab, led by Associate Professor Dan Bang. In the lab, we apply a multi-modal, cognitive