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Field
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) simulations and reduced order modeling of turbulent and reacting flows relevant to advanced propulsion and power generation systems, such as gas turbines and detonation engines. The successful candidate’s
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the model results Develop further modelling approaches to simulate the dynamics of particular species and ecosystem services (e.g. empirical models for crop yields) Closely collaborate with social scientists
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Offer Description A call for applications is open for a Post-Doctoral Research Grant (BIPD) within the scope of the project “SMURF-Sustainable Management models and value chains for small forests”, funded
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
of hybrid modeling frameworks for electromobility, combining physical models, graph-based representations, and data-driven approaches. It aims at integrating large-scale mobility data to improve
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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Job related to staff position within a Research Infrastructure? No Offer Description Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis
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is seeking to recruit a Postdoctoral Research Associate (PDRA) in Large Language Models, based in the Natural Language Processing (NLP) group . The NLP group is internationally recognised for its work
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modelling of nitrogen, carbon and water fluxes in agricultural dominated landscapes. The position will be available starting August 1, 2026, or as soon as possible thereafter. The position is available for a
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modelling of nitrogen, carbon and water fluxes in agricultural dominated landscapes. The position will be available starting August 1, 2026, or as soon as possible thereafter. The position is available for a
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; eLife). You will apply computational models to investigate how experimentally manipulated self-esteem influences social learning in individuals with a history of childhood adversity. This work is intended