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Field
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and other persons in a position to understand service requirements. Verify the patient’s ID by checking their name and date of birth on electronic medical record and patient’s wristband. Always obtain
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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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) identify and quantify the uncertainty in historical trends and near-term model projections. The work will be in close collaboration with scientists at Columbia University and NOAA Geophysical Fluid Dynamics
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Support The research will investigate Explainable AI (XAI) to identify important clinical predictors and improve the interpretability of model predictions. Multimodal and temporal modelling approaches
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Support The research will investigate Explainable AI (XAI) to identify important clinical predictors and improve the interpretability of model predictions. Multimodal and temporal modelling approaches
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extension to other approved CAPTURE-PH cohorts. You will tackle scanner and protocol heterogeneity, data-quality issues and model failure modes, and establish reproducible multi-centre validation
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) into a rich, shared latent representation. Conditional Molecular Generation. Design and train a conditional generative model that maps these fused spectral representations directly to 1D SMILES strings
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) into a rich, shared latent representation. Conditional Molecular Generation. Design and train a conditional generative model that maps these fused spectral representations directly to 1D SMILES strings
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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and molecular interactions Exploring model architectures and training approaches, including geometric deep learning, diffusion models, and graph neural networks Preparing and processing biological and