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We are seeking a highly motivated researcher to join a multi-disciplinary team to engage with communities and stakeholders to understand their viewpoints on linking health and environmental data
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engineering applications, and their tight integration with planning and control (e.g., task-and-motion planning, differentiable planning, or Reinforcement Learning (RL) with safety constraints). There will be
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Closure Date - 30th January 2026 We are looking for exceptional students to apply for a funded PhD opportunity at the Centre for Health Economics (CHE). CHE will fund a studentship from the
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work closely with the engineering team at SSEN to translate your research to real-world impacts. What you would be doing As a Research Associate, you will investigate the evolving role of electrical
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Researcher will influence the direction of application areas and algorithm development, receiving direct training in InSAR processing, geospatial data science, and agricultural remote sensing. Co-supervision
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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Driven by our data hungry society, chip-to-chip and device-to-device data bit rates will need to reach terabits per second in a not distant future. Such data rate will only be met if there is a
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signals from the star itself. Especially in radial velocity data, essential to measure a planet's mass, these signals are often larger than the planet signals. With Dr Annelies Mortier, projects
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background in a biological science (e.g. genetics, molecular biology, zoology, evolution), and have strong interests in genomics, data analysis and evolution. Entry requirements The standard minimum entry