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for sustainable mobility and the strategic placement of car sharing stations is crucial to maximize user adoption. Using causal effect estimation and spatially aware predictive methods, tools will be developed
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one third of general anesthesia in the UK, estimated at 1.1 million intubation procedures per year. Although frequent, these acts are risky and the intubation procedure entirely depends on the operator
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treatment method. We conduct research across a broad range of areas, including trauma, degenerative disease, pediatric orthopedics, and hand surgery. Depending on the research question, we employ a wide
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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written English is required. A real passion and commitment for research. Desirable criteria are: Knowledge of a variety of deep learning architectures and methods. Knowledge or past work on explainability
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the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional, and structural MRI, alongside hands
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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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developments in artificial intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies
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Strategy. The ability to upgrade methane into higher-value products, particularly through plasma-assisted or catalytic methods, is a game-changer for the chemical industries, enabling a dual focus on
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methods, is a game-changer for the chemical industries, enabling a dual focus on reducing greenhouse gas emissions and creating economically valuable outputs. This PhD position is part of PRIME LEAP, a