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, cash flows, and long-term business viability. Your Role We are seeking a highly motivated and creative postdoctoral candidate to develop data-driven financial forecasting, planning, and scenario-analysis
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products, field observations, and outputs from numerical models such as Delft3D—you will develop a framework capable of generating rapid forecasts of erosion, accretion, and morphological changes under
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting Models Basic Qualifications A Ph.D. or equivalent degree
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candidate to develop data-driven financial forecasting, planning, and scenario-analysis tools. You will work on three closely connected tasks in Horizon Europe funded “Sustainable Circular Economy Transition
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The QUBIC project is a strategic initiative aimed at advancing quantum computing to address critical challenges in high-impact sectors including weather forecasting and energy. The primary aim
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
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individuals with expertise in one or more of the following areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Forecasting
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Strategies Integrated coastal zone management (ICZM) Water information, knowledge and decision systems Forecasting and Warning Systems Environmental Considerations and Sustainable Development Job description
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AI modeling and differentiable modeling (a genre of physics-informed machine learning) for hydrologic modeling to improve large-scale hydrologic forecast. The scholar will work with a large