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PhD Studentship: How Does Spatial Organisation Impact Host-microbiome Interactions in Human Airways?
(e.g. immune processes, microbial species growth rates). For example, microbial colonies in lower human airways differ from those found in upper airways due to the latter’s exposure to external
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About the project We seek candidates interested in completing a PhD at the intersection of developmental and computational human neuroscience. We will support the selected candidate to apply for a
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Application deadline: 01/07/2024 Later start dates may be possible – please contact once deadline passes. Project Description Hepatitis E virus (HEV) is the causative agent of hepatitis E, a human liver disease
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@leeds.ac.uk Project summary When sorting and packing nuclear waste items, the current practice typically involves human operators wearing full PPEs and/or remotely controlled robotic arms. Major constraints
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-founded the London Genetics Network, which has >330 members from >30 institutions (including Surrey) in London and the surrounding areas. Professor Pluess will also act as second supervisor: he brings
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to their enhanced resistance to radiation-induced void swelling, as compared to face-centred cubic materials, and to their high-temperature mechanical strength. In particular, the aim of the tritium breeder module is
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undertaken at the School is relevant to both Veterinary Medicine and Science and Comparative and Human Medicine. Project description: The project will be based in the Rutland, Mongan, Jeyapalan Research Group
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Psychology Doctoral Research Studentship - Colour Perception and Subjective Colour Experience (2024)
vision and colour perception at all levels from retinal processes in animals (e.g. Professor Tom Baden and Professor Daniel Osorio ), to the many facets of human colour perception (Bosten and Professor
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techniques can be used to design more games that elicit the 'eudaimonic gameplay experience'. This project would prefer a candidate with demonstrable background in one of the following areas: Human Computer
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modelling proves very efficient and powerful to decipher the relationship between many entangled mechanisms. Many computational models of tumour growth have been developed over the past 20 years to understand