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. The project will use standardised biodiversity monitoring across to examine how wildlife responds to tree-based farming systems. Methods may include: camera trapping; bird point counts; acoustic monitoring
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information about the dielectric properties of the surface and can therefore be used to infer changes in soil moisture. A major focus of the PhD will be to develop, test and improve robust GNSS-IR processing
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-centric micromanufacturing technologies for next-generation healthcare and MedTech applications. The project offers the possibility to pursue the PhD within the network at different universities and
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-centric micromanufacturing technologies for next-generation healthcare and MedTech applications. The project offers the possibility to pursue the PhD within the network at different universities and
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field network and integration of data from across the field network. The project will use standardised biodiversity monitoring across to examine how wildlife responds to tree-based farming systems
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testing and optimization of different purification methods
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will do Interpretable machine learning is a growing research area, with important applications in the biological sciences, such as understanding how different genes regulate each other within biological
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constrain it. Within an ongoing research project, we are developing a theory of an adaptive legal framework for the hydrogen economy. In this project, we aim to empirically test this theoretical framework in
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examine similar unorthodox approaches to health in the 20th and/or 21st Century are encouraged. While we encourage candidates to design their own programme of research, possible foci for the PhD studentship
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning