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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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) that represents entities such as people, projects, grants, publications, places, and outputs—and models their relationships over time. The position will build robust Python-based ETL/ELT pipelines, implement SQL
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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exploit a numerical model that consistently integrates: • frictional slip (aseismic and seismic), • fluid pressure evolution, and • fault permeability variations, in order to analyze the mechanisms
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Summary Seeking a motivated Engineering undergraduate student to support a research project on Multiphysics modeling and insulation design optimization of glass melting furnaces. The project focuses
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science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
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vision about our school’s ongoing strategic initiatives. Job Description Job Summary: The mission of the Department of Social and Behavioral Sciences, at the Harvard T.H. Chan School of Public Health (SPH
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implement end-to-end data pipelines, develop AI models to extract structured intelligence from unstructured social media data, build spatial risk models, and translate these outputs into a secure, user-facing