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Position Description The School of Physics (https://physics.gatech.edu/ ) at the Georgia Institute of Technology in Atlanta, Georgia invites applications for a Postdoctoral Fellow position in Artificial
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responsibilities (dependent on experience level of applicant) Develop and improve multi-temporal InSAR processing algorithms (e.g., time series analysis, phase unwrapping, noise mitigation, filtering, atmospheric
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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. The incumbent will have the unique opportunity to work at the intersection of cutting-edge science and real-world application, developing groundbreaking algorithms and systems that mimic natural processes
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, interpretability, and data efficiency at their core. This is what you will do As a postdoctoral researcher in robot world models, you will develop compositional, physics-grounded digital twins that enable robots
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
Lidar and the Roscoe upper troposphere/lower stratosphere lidar). Additional projects include the development of machine learning and advanced data processing algorithms, and participation in upcoming
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of research, including data collection, model development, and implementation. This position requires an individual who is able to work as part of small research teams, and on multiple projects concurrently
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contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
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Raman system in close collaboration with industrial stakeholders (Veridis) If the project is successful, Veridis intends to offer a follow up to continue the development. Where to apply Website https
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develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer