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Field
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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implementation of numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset. Ability to obtain and maintain a security clearance. Special Requirements
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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: Postdoctoral Researcher - Electrical and Computer Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 204
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: $62,232 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary Dr. Putluri’s laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Fellow to
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
Scaling: Developing data-fusion algorithms that combine VSWIR spectroscopy with active radar/lidar, thermal, and atmospheric retrievals to scale plot- and tower-based flux measurements to pan-tropical
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commensurate based on the selected hire’s education and experience. Location/Schedule: Bryan, TX/Full-Time We encourage you to apply! To help us learn more about your experience and interest in the role, please
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and