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of the financial details section. About the scholarship This PhD project will explore how patient flow is best modelled and evaluated within complex hospital systems. The project will apply advanced statistical
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-Soma to explore the occurrence of water worlds and to characterise their properties, both observationally and by developing models of their atmospheres. Start date is flexible, from early 2027 onwards
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in-depth qualitative evidence on how
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to manage large complex engineering problems with thousands of components, relationships, constraints and details. This project will use this systematic, searchable, analysable modelling technique to examine
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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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protoplanetary discs matched to our nearest star-forming regions* Modelling outbursts in young stars during star cluster formation* Modelling how dust grows from micron-sized grains to km-sized planetesimals in
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interacting with these systems, including difficulties understanding eligibility requirements, producing relevant documents, and navigating complex administrative processes. The PhD project will generate in
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Neptune have thick outer envelopes composed of hydrogen-rich gas, whereas water worlds would be devoid of hydrogen. This project will focus on developing atmospheric models for ‘sub-Neptunes’ (planets
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-preserving and capable of adapting to new environments without extensive retraining. Existing approaches often struggle with understanding complex human behaviour while satisfying privacy and real-time