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species interactions and with the environment. Holistic, community-level approaches are still largely missing. In this project, the DR will develop state-of-the-art AI algorithms to monitor and predict
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INHABIT hub is to understand how indoor environment and health of residents change during energy retrofitting to decarbonise the housing sector. The post-older will support the sensor deployment as
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for forecasting and nowcasting of ionospheric/thermospheric parameters (e.g. electron density, neutral density, electric fields, plasma irregularities) Data assimilation, sensor fusion, time-series modelling
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infrastructure, soil improvements, soil-structure interaction, tunnelling, sensor development and evaluation, leak detection and geotechnical and structural engineering. Experiments can be conducted in the large
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the suite of testing and readout as part of the quality control requirements. Develop tooling for assembly of sensors into detector modules, and modules onto mechanical support structures. Regular contact
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; Analysis; Bubble Dynamics; Combinatorics, Probability and Algorithms; Continuum Mechanics; Geometry and Mathematical Physics; Mathematical Biology and Healthcare; Mathematical Data Science; Nonlinear Systems