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Field
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circuit platforms. This work includes the development and theoretical study of novel circuit architectures, aimed at improving coherence and enabling new approaches to quantum computation. The Postdoctoral
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learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software
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University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
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and Innovation Officer, research leadership, and compliance; Including policy development, procurement and contracting standards, data governance, algorithmic accountability, and monitoring of evolving
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 12 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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environment to develop novel methods that bridge generative modeling and visual perception. A key expectation of this role is to contribute to and lead efforts toward publishing a paper in a top-tier conference
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About the Opportunity Job Summary: The Open6G group at the Institute for the Intelligent Networked Systems (INSI), Northeastern University, is leading research and development, testing and
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About the Opportunity Job Description: The Open6G group at the Institute for the Intelligent Networked Systems (INSI), Northeastern University, is leading research and development, testing and
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equipment. You will ensure sensors are calibrated and will implement, improve, and interpret data quality assurance algorithms. You will also produce reports as needed for distribution to agricultural
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mentor students in creative coding, sound studies, and media arts practice including sound art or electronic music. Additional teaching areas may include: generative and algorithmic approaches to design