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position at the Department of Civil, Environmental Engineering and Architectural Engineering for the Scientific-Disciplinary Group (GSD) 08/CEAR-07 - Structural Analysis and Design (SSD CEAR-07/A), funded by
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architecture, urban planning, land development, and allied disciplines. To learn more, visit us at: https://www.arch.tamu.edu/laup . Qualifications Required Education and Experience: PhD in Urban Planning
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university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical
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, process and characterize thermosets and composite materials. Analyse and interpret experimental data. Contribute to the development of new material formulations and composite architectures. Perform
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centre for maritime training, education and research. Within AMC, the Centre for Maritime Engineering and Hydrodynamics (CMEH) delivers specialist programs in Naval Architecture and Ocean Engineering
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
. Recent developments include wafer-scale MBE processing, improvements to MBE-grown passivation layers, and integration of epitaxial materials into flight-ready detector architectures. We are seeking a
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
of the actuated soft-robot phantom (WP3 "PHANTOM", task T3.3), from architecture definition through experimental validation of the prototype (deliverables D3.4, D3.5). For a better knowledge of the proposed
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering