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models, or between LTL and HTL models. He or she must be familiar with the Linux environment and possess good programming skills, particularly in the use of one or more compiled languages. A good knowledge
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, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis
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models to support the analysis and sustainable management of water resources, also considering the impacts of climate change. In particular, the research will explore innovative approaches for integrating
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expertise in artificial intelligence, particularly in the areas of knowledge representation, reasoning (SAT, constraints), and model counting. The PostDoc will join a dynamic and respected team in
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 8 days ago
Description The Odyssey team is offering a 6 month engineer position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a
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. Incorporate geographical knowledge, physical principles, and process-based constraints into deep learning models. Explore foundation models and deep learning for interdisciplinary applications in agriculture
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and identify the competence and knowledge structures associated with one or more disorders, identify the models best suited to capture violations of local independence, and finally test and validate
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-surface products. Design deep learning and multimodal models for long-term, multi-source remote sensing time series. Incorporate geographical knowledge, physical principles, and process-based constraints
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therapeutic red blood cells. You will: Develop and refine genome-scale metabolic models of reticulocytes and mature red blood cells using published knowledge and experimental data generated through the project
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. • Experience in membrane technology, gas separation, CO₂ capture, or membrane contactors is an advantage. • Knowledge of CFD modelling and hydrodynamic analysis of process equipment is desirable. • Strong