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generating synthetic data. Incorporating human-in-the-loop ensures model interpretability. By addressing data scarcity, this initiative aims to promote significant impacts on both research and clinical
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Alpes. Thanks to increasingly precise and sophisticated medical imaging techniques and fast-growing powerful image morphing tools, there are ways to predict the appearance of a patient's face after
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important since incorrect formation of the neural tube leads to developmental defects that account for some of the most common and severe birth defects in humans. Such defects, including anencephaly and spina
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to no intentional human support. Considerations surrounding unowned cat populations are well-documented and span multiple fields of research including animal welfare, conservation and public health. Despite the well
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; develop and test innovative human-machine teaming tools that aid operators in making optimal search termination decisions. Your research will have potential applications in areas such as airport security
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face pressed against a stationary face. They leak a tiny amount of sealed gas, a sub-micron thin layer, to make sure the faces do not contact and wear out. Conduct cutting-edge experiments to understand
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to develop models towards human neural spheroids and/or organoids, and use these “mini-brain” platforms to generate infiltrative tumours using patient-derived GSCs. The model will then be validated as a more
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presents something of a challenge in migratory species as the sources of population change could occur at any point in their wanderings across the globe and they often face different types of threats during
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environments, especially close to humans, flora or fauna. Even so, these robots are still barely used outside laboratory settings, due to their high complexity and severely limited flight time, payload and
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Supervisory Team: Paul Kemp, Andrew Vowles PhD Supervisor: Paul Kemp Project description: Beavers are ecosystem engineers capable of modifying rivers to benefit biodiversity and humans, e.g. through