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performance while enabling more efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral
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Techniques Laboratory description : Laboratoire Interdisciplinaire Carnot de Bourgogne As part of the LabCom TeleMAQ (Testing the Limits of Quantum Machines and Algorithms) project, established between
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
: Optimizing waveguide geometries and micro-resonator architectures to enhance nonlinear optical conversion efficiency (e.g., via SPDC or SFWM) while maintaining high spectral purity. Dispersion Engineering
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 16 hours ago
receive hands-on experience that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep insight into the federal government's role in the creation
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to excite this state directly with an optical laser. As part of the HiTHOR project based at the Helmholtz Institute Jena and funded by the European Research Council ERC, this nuclear transition is now to be
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workflows into structured representations suitable for AI planning and optimization algorithms. 2) Research Leadership & Mentorship: * Abstract from the practical challenges presented by the work and
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The Yale Center for Emotional Intelligence (YCEI), part of the Child Study Center at the Yale University School of Medicine, conducts research and teaches people of all ages how to develop
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and Circularity to strengthen its activities in sustainable photovoltaic technologies. The successful candidate will work at the interface between scientific research, technology development, project
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and
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, quantify nonlinear interactions, and advance scientific understanding of coastal ecosystem resilience. Curate and develop reproducible AI-ready datasets, computational workflows, and research software