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Field
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involving complex thermodynamics and transport phenomena. Optimization under uncertainty and robust decision-making for process design and operational strategies. Integration of first-principles (mechanistic
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international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/ ). The StatDivLab develops cutting-edge statistical methodology to address the most important
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exemplars. Deliverable D5.1 Projection heads and harmonised embedding schema v1.0 with uncertainty application programming interface and integration guide. Deliverable: D5.2 Query Retrieval Fusion backbone
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. Marieke de Goede. The project is funded by the European Research Council (ERC) through an Advanced Grant. For more information, see https://cordis.europa.eu/project/id/101199713. Join Us! We are looking
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will also require the ability to collaborate with other researchers on other center themes, such as Fairness and Uncertainty, and contribute to a comprehensive understanding of urban systems
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Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming
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and apply probabilistic foresight models for policy-driven technologies and explore the meaning of uncertainty in such projections. Analyse the extent to which policy interventions can accelerate
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data integration, image segmentation, predictive modeling, and uncertainty-aware active learning approaches. Perform data analysis and collaborate on physics-based simulations to support closed-loop
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well as uncertainty-aware decision-making. The aim of these new algorithms is to develop policies that are robust, interpretable, and relevant for epidemic preparedness and response. As postdoctoral researcher you
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a postdoctoral researcher, you will: Integrate hybrid traffic models and data assimilation methods into a coherent prediction framework. Develop uncertainty quantification methods and explainable and