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, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within agricultural landscapes influence wildlife movement and landscape connectivity
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belowground water use and root-zone water dynamics? Can mechanistic models be used to predict how different tree-based farming systems influence water stress and water availability under future climates? For
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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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depths and water sources? Can aboveground tree morphology be used to predict belowground water use and root-zone water dynamics? Can mechanistic models be used to predict how different tree-based farming
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investigate the wildlife connectivity potential of tree-based agricultural systems, combining biodiversity surveys, animal movement data, landscape modelling and remote sensing to understand how trees within
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protocols. Crucially, you will develop experiment-ready models that rigorously account for realistic device imperfections—bridging the gap between theory and practical implementation. Objectives Develop a
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is available from 01 January 2027 or later. You can submit your application via the 'Apply' button above. Title PhD Position in Physical AI: Adaptive Foundation Models for Robotics Research area and
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work that has been carried out at Bristol. It aims to move the technology to more scalable packaging and involves electromagnetic modelling, cleanroom fabrication and on-wafer probe testing. You will be
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external stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National
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stakeholders. Ability to manage in a scientific environment with in depth knowledge of the different models of research operations while enhancing a collaborative approach. Knowledge of the National Research