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deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch
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into downstream probabilistic time-to-event models. Duties The doctoral student will primarily devote their time to graduate education. Other departmental duties of at most 20%, including teaching and
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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environments, and distributional shifts. The research will combine probabilistic modelling, network-based representations, and modern AI methods to enable scalable and interpretable decision-making in complex
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selection and validation, supervised and unsupervised learning, optimization techniques, (deep) neural networks, probabilistic methods and statistics, data visualization, natural language processing
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with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as
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Renovation Decision-Making”. The PhD position is part of the Horizon Europe CLIMABUILD project. The candidate will develop probabilistic life-cycle modelling methods to support stakeholders in identifying
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and behavioural experimentation. Key research tasks include: Developing learning-based behavioural models of navigation, route choice and adaptation; Applying reinforcement learning, probabilistic
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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
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of surface water, groundwater, and probabilistic seepage analysis, together with modelling and uncertainty assessment techniques. Consideration of these interacting processes may help improve the accuracy and