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development in Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI) . The developed assets will be used in immersive XR applications as well as simulation environments for AI model
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objective of this master thesis is to evaluate the economic impact of different policy instruments on DAC economics. You will review existing policies for DAC and model the impact of these on the cost of
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, classification and prognostic modelling. Explainable and Multimodal AI Explainable AI (XAI) methods will be investigated to identify important clinical and predictive factors contributing to model
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, classification and prognostic modelling. Explainable and Multimodal AI Explainable AI (XAI) methods will be investigated to identify important clinical and predictive factors contributing to model
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multicomponent thermodynamic descriptions to model diffusion processes in a variety of disordered and ordered metallic systems. The next challenge is to model the diffusion mobilities in complex materials
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controllers rely on relatively simple approaches, particularly Proportional-Integral-Derivative (PID) controllers. This is partly because many advanced methods require a sufficiently accurate model to
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to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model
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media governance. We are looking for a curious, creative, and collaborative researcher with strong training in historical research methods to investigate the contestation of the public media model from
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, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based development. For Model
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capable of estimating anatomical, mechanical and electrophysiological parameters from large imaging datasets while addressing the challenges of limited patient-specific data and uncertainty in model