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researchers in Cranfield Environment Centre and the Connected Waters Leverhulme Doctoral Programme, which focuses on human-environment interactions in freshwater systems. They will benefit from a lively and
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. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
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degree or equivalent in a related discipline. Ideal for a geographer, environmental scientist or social scientist interested in how humans perceive, interact and influence the natural environment. Should
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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personalisation of social/companion robot for long-term engagement Expanding the applicability of the social robot, Kaspar, to diverse user groups Machine Learning for Human-Robot Interaction Neuroethology
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opportunities for both inhibitors and stabilisers of MRFAP1 interactions applicable to cancer and a range of other human diseases. The project will be supervised by Prof. Steve Smerdon (s.j.smerdon@bham.ac.uk
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. self-supervised learning techniques, particularly suited to infrastructure applications where labelled data is scarce, enabling models to learn from the data itself without relying on extensive human
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of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based on their knowledge and assumptions
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The rocky intertidal zone provides a natural laboratory for examining how abiotic stressors and species interactions shape ecological patterns. Species in this habitat are easily accessible and act
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relies on accurate models of how the system interacts with its environment. Traditionally, such world models—comprising transition and observation models—are specified by domain experts, based