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to address urgent challenges in animal conservation and welfare. However, existing technologies have mostly been developed for use in controlled laboratory settings and are often unsuitable for field
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also be involved in a fixed number of teaching hours during your time with us. In year one, alongside your specific PhD research modules, you’ll complete a short teacher training programme by
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the Addiction Healthcare Goals flagship research leadership programme . The aim is to support people and projects that drive innovative responses to addiction to illicit drugs and alcohol. Strong applications
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, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
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. Richard Dickens and Dr Wenchao Jin This studentship is supported by the ESRC Centre for Digital Futures at Work . You will study within the Economics PhD programme at the University of Sussex Business
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. The framework consists of three key technical innovations. First, a multimodal encoder will be developed to project heterogeneous network data (e.g., time-series, sequences, graphs) into a token-like embedding
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position in a ‘landscape of fear’. Objective 3: Develop spatially explicit models to predict how nest footprints combine to generate landscape-level variation in microclimate, carbon flux, and plant
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leading research, education, policy and industry sectors. Our innovative programme offers exceptional PhD training and supports a diverse portfolio of multidisciplinary research across the NERC remit. We
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equitable access to clean energy. By linking technical innovation with legal reform and social inclusion, this project aims to develop a regionally tailored strategy for sustainable, just energy transition
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course of study and have opportunities to participate in faculty development programmes. The scholarship is tenable for a period of five years. Service Commitment 5 years in SIT after completion of PhD studies. Mid