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column. This parallel study will allow to integrate short-term, ecological observations on the climate-driven Rhizarian response, as well as related oceanographic processes, including productivity and
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vocal processes depend on auditory-guided motor learning during a sensitive period of development, and exhibit many parallels at the behavioural, neural, and genetic levels. Their acquisition and
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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of performance targets such as efficiency, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally
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State University of New York University at Albany | Albany, New York | United States | about 12 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
job scheduling, resource allocation, and parallel computing. Special Physical/Mental Requirements N/A Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https
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functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device operation. To design optical metasurfaces and
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organizational, communication, and problem-solving skills, with the ability to manage multiple parallel workflows in a fast-paced environment Comprehensive understanding of scientific research processes
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fields: Material Science, thermal simulation, Metallurgy, Solidification of alloys,... School - Location: Centrale Lille Institute Laboratory: LaMcube Web site: http://lamcube.univ-lille.fr/ Name of
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to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will explore