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to shape disease risk. Yet most clinical risk models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population
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the fields of fairway design, intelligent waterway engineering and autonomous shipping, handling of new fuels on ships and in ports, and AI-based predictive analytics for ensuring maritime safety. Enhancing
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research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Research Engineer (Modelling and
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segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires deep knowledge of the underlying models and
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these models for scalable vision tasks, instance segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires
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to be enrolled in a study programme leading to a PhD (or in a non-degree programme). - Have proven experience in physical and digital modeling to predict the structural performance of packaging, enabling
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the University of Porto (FEUP), under the scientific supervision of Professor Alexandre Ferreira. Grant duration: Initial duration of 3 months, with the predicted starting date in May 2026, on an exclusive basis
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: Initial duration of 6 months, with the predicted starting date in April 2026, on an exclusive basis eventually renewable but never exceeding the project duration. If it is not possible to ensure
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months, with the predicted starting date in april 2026, on an exclusive basis eventually renewable but never exceeding the project duration. If it is not possible to ensure the duration of 6 months
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taken GC as a covarying factor that could modulate host responses to parasitism. In a near future, GC is expected to greatly impact the distribution and pathogenicity of parasites. Predicting