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Field
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. The Department has also made recent appointments in Quantum Computing and
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algorithms for 3D meshes in a web XR context. This Knowledge Transfer Partnership (KTP) project between Smartify and the University of the West of Scotland (UWS), will deliver an AI driven system
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protein architectures as robust and reliable scaffolds for the development of novel functional protein-based nanomaterials and sensors, in particular for the recognition of carbohydrates, for applications
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algorithms, models, and their optimization techniques Knowledge of TensorFlow, PyTorch, etc. Effective communication (oral and written) skills, ability to write research reports and papers in style accessible
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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algorithms. These algorithms act as perfect digital lenses, with no image degradation from aberrations, and provide a fantastically detailed, information-rich view of any sample being imaged. Applications
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, wave equations, and beam equations, to model and understand different physical systems and their unique challenges. Sensor and Actuator Analysis: Examine and evaluate the sensors and actuators available
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approaches use sensor measurements to deduce tool wear via an empirically determined correlation between the tool wear and sensor data. This has lower complexity and is more suitable for real-time TCM
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, interpretability and trust in AI algorithms and AI-based technologies. Applications with healthcare, energy, sustainability, business analytics, etc. Candidates are expected to demonstrate a track record of