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electron beams, advanced beam-manipulation for precise electron-beam shaping, and ML for accelerator science. Responsibilities Develop and deploy ML algorithms for autonomous operations and optimization
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model datasets, e) a strong desire/motivation to develop scientific
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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disease progression. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will
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responsibly. What You’ll Work On You will contribute to the development and evaluation of ethics-centered adaptive brain/muscle–machine interface technologies using physiological signals (primarily sEMG
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, b) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month 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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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
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technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation vehicle systems, identify opportunities