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of Birmingham Background We are seeking a Research Fellow to support the development and application of quantum technology-based gravity gradient sensors. The successful candidate will focus on the analysis and
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to sensor data, diagnostics, or control optimisation. Proficiency in software development for hardware interfacing, sensor integration, and communication protocols (e.g., CAN, I2C, SPI). Ability to analyse
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of human-robot interaction and participatory design, particularly in clinical settings or involving older adult populations. Your technical expertise includes integration of wearable sensors for real
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from 3D joint coordinates; 2) understanding wireless transmission (semantic communication) concept. The successful candidate will also need to visit our industrial partner in the UK and EU, to do
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development, planning and delivery of research funded by the UKRI MRC. You will also liaise with collaborators from Imperial College London on the design novel stimulators and sensors to use in the neonatal
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isolated from the air to improve our understanding of biodiversity data capture and of ecological networks. The research fellow will primarily be based at the People and Nature Lab on the new UCL East campus
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policy goals, notably Clean Power 2030 and NESO’s Pathways to Net Zero. Beyond technical research, the researcher will be expected to produce high-quality academic publications and policy briefs, while
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The successful candidate will work on the five year, EPSRC funded, Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations REMODEL
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computational methods for automatically creating extremely large simulation models faster and better, including mesh generation and boundary condition application. The posts are primarily office based, with some
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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or