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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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and paleosols 3) train and test deep learning algorithms. You will be required to take responsibility for all the steps involved in the “Phytolith analysis” work package of DEMODRIVERS. This will
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
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will be involved in the Trusted Autonomous and Self-Adaptive Systems for Defence (SAACD) project. This project aims to overhaul the engineering and development of this type of complex system. A SAACD can
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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Processes and developing AI algorithms for image processing and analysis. Years of Research ExperienceNone Internal Application form(s) needed Normalitzat_Cvi_registreiseguiment_english_4.pdf English (47.04
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) on the development of advanced Pediatric MR research with a primary focus on the brain and/or heart (e.g., MR spectroscopic imaging, MR elastography, susceptibility mapping and/or dynamic imaging). The candidate will
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platforms for real-world transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners, and will support ongoing
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preferences, your work may focus on the theoretical foundations of queries and mappings in this context (e.g., formal results on fundamental properties of relevant languages) or on developing, implementing, and