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ambitious new project on the safe deployment of medical imaging AI. The purpose of the role is to conduct world-leading research on AI for medical imaging. The goal is to develop methodologies and
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. Research Environment The project is in collaboration with two partners: (i) IDCOM at the University of Edinburgh, which develops theory, algorithms and hardware for the next generation of signal processing
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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to genetic, genomic, proteomic and/or metabolomic data from hospitalized children; developing predictive algorithms for in-hospital events; investigating pattens and quality of care for hospitalized children
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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group at King's College London led by Professor Bipin Rajendran. The group at King's is part of a consortium developing multiprocessor systems-on-chip with advanced nanoscale in-memory neural processing
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research and its efforts to put new knowledge and innovations directly into practice. Scientific Software and Data Management (SSDM), part of Scientific IT Services (SIS) within central IT, develops
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| Mechanical and Aerospace Engineering This Researcher 3 in the Department of Mechanical and Aerospace Engineering reports to Dr. Jami Shah in Digital Design & Manufacturing Lab. This position develops
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, findings, data, software, etc. are correctly archived and transmitted through appropriate channels. Key responsibilities will include but are not limited to: Algorithm development, implementation, and
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by