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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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. DVXplorer), and tactile/force sensors. Strong background in computer vision and deep learning, with practical implementation experience. Proficiency in programming with C++ and Python, including use of ROS
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-based cameras (e.g. DVXplorer), and tactile/force sensors. 3. Strong background in computer vision and deep learning, with practical implementation experience. 4. Proficiency in programming with
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health monitoring. This will include data collection from volunteers and/or patients. The project will explore data capture with the different sensors including motion capture, radar, and others as
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical
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well as localization of targets or signal sources in passive-sensing settings. This is central to future 6G wireless communications applications, where radio-frequency sensing and data transfer (ISAC) are integrated
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of the School which commits SOAS to both student responsiveness and research intensity. About the Role: The Critical Research on Industrial Livestock Systems (CRILS) Network aims to connect academics with
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of the next phase of our Younger Generations Programme are to maximise outputs from the first phase, consolidate and extend ongoing research, and establish a schools health research network. Core activities to
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transitions, particularly in the governance of critical minerals. The project responds to deep contestations over the meaning and purpose of justice in the shift to net zero emissions, which have led to policy