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the SW Portuguese coast; Analysis of wave and tidal data for the Portuguese SW coast (Sines buoy/gauge and global models); Evaluation of rip current occurrences and their association with embayment and
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, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining optical system design, signal processing, machine learning, and
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Duties may include, but are not limited to: Work in the Wave Research Laboratory in the planning, preparation, instrumentation, execution, recovery, and cleanup of physical model tests of coastal processes
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
water cycles and their interactions with the Earth’s surface using NASA Earth science satellite observations, in-situ measurements, modeling including IPCC CMIP model outputs. Topics include (1
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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background in wave optics, Fourier optics, and inverse problems, including experience with linear and nonlinear reconstruction methods (e.g., Born/Rytov approximations, multislice or multiple-scattering models
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: Gravitational Physics Appl Deadline: none (posted 2025/09/30 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description The Laser Interferometer Gravitational-Wave Observatory (LIGO) has as its
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%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with
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intelligence, equipping students with analytical and computational tools to model, simulate, and understand complex biological and physical systems. About MBZUAI – A Global Leader in AI Research and Education
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Number AE2025-0514 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0514.pdf CALL FOR GRANT