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beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include • Strong background in
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, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape brain development and behavior
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seeking a postdoctoral researcher with expertise in data management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making
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availability of funding and satisfactory performance. Eligibility: Candidates should be US citizens, nationals, or permanent residents, and they must have received a PhD in computational and applied mathematics
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and technical reports, as well as seminar and conference presentations Active participation in professional organizations Basic Qualifications: A PhD in Mathematics, Applied Mathematics, Computational
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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, computational physics, computational materials science, inverse problems, signal processing, x-ray science etc. are encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's interests center
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
outputs are biologically and clinically meaningful. Contribute to PI-led grant applications and mentor undergraduate/graduate students. Qualifications: Required: PhD in Computer Science, AI, Data Science
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, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis