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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware
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). They will integrate multidisciplinary research (including archaeology, history, urban studies, social theory, anthropology) and datasets into current debates in Urban Studies. The candidate should have a
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of avoidance in birds. The PhD will develop an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics
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into detector specifications, design and model suitable device structures, develop a CMOS-compatible fabrication and integration route, and fabricate experimental devices. You will characterise spectral
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an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This
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, healthcare, public-sector and industry collaborators. This environment will support the candidate in moving beyond the development of an AI model to consider responsible implementation, clinical relevance
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, FCVD creates a liquid-like layer that fills narrow trenches on substrates before solidifying into films. We will model this across multiple scales, from atoms to fluid flow, using quantum chemistry
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of this joint experiment-theory project is to elucidate the properties of beyond-EUV radiating plasmas. The work will entail performing experiments and numerical modeling of plasmas to quantify, for instance
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, longitudinal patient and population registries and biobanks. Project description Large language models (LLMs) enable the extraction of clinical information from unstructured medical text. However, current LLM
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. Set up a quantitative, experimentally validated model of the ultrasonic flow sensors Design an experimental sensing platform required for this project. Characterize ultrasound propagation loss, quality