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Field
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with ordinary facial movement. While many methods have been developed to recognise and localise micro-expressions, these results remain difficult to understand. The proposed models will be designed
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supervision across institutions and takes part in three residential schools, methods workshops, monthly research seminars and joint work with organisations beyond academia. Every project includes a planned six
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’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy in
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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node
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micro/nanoCT, confocal microscopy and SEM Characterize fibrous scaffold architecture, porosity and structural stability Develop computer vision and machine learning methods for multimodal bioimaging data
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
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, receives supervision across institutions and takes part in three residential schools, methods workshops, monthly research seminars and joint work with organisations beyond academia. Every project includes a
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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develop our own numerical methods and tools, but also extensively employ and co-develop numerical techniques provided by the international community. We are looking for one PhD student to join our team in
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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal