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Field
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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the gut-brain and gut-muscle axes, as potentially key modulators of cognitive function, and physical health in middle-aged-to-older adults. The central theme will be to investigate how targeted
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difficulties), and neuropsychological sequalae such as cognitive difficulties (memory and new learning, executive function, attention, processing speed, cognitive fatigue etc.), and difficulties with regulating
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investigation will be zero-knowledge succint non-interactive argument of knowledge-- ZkSNARK. Subsequently, we will formalise the front-end (R1CS) and back-end (Groth16) of ZkSNARK in the Coq theorem prover and
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implementation of decentralised personal data governance frameworks? Technology: How can multimodal knowledge graphs in combination with generative AI help individuals govern their data (e.g. within decentralised
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Project details Early detection of cognitive decline allows identification of those at high risk of developing dementia when medical treatments may be effective in preventing disease onset. Our
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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a vital role in regulating neural excitability, cognition, mood, and social behaviour. Alcohol is well known for its ability to enhance GABAergic function—contributing to its relaxing, anxiolytic and
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Are you passionate about cognitive computational neuroscience and eager to contribute to cutting-edge research in perception? We invite applications for a fully funded PhD studentship supported by
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve