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Field
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interdisciplinary thinking • High level of initiative and commitment • Ability to work in a team and communication skills • Good knowledge of Ansys Fluent • Experience with deep learning methods and packages
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later start date up to July 2025. Selected postdocs will work with their primary mentor on research at the intersection of educational data science, AI in Education, and the learning sciences, with
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university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
-on experience that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep insight into the federal government's role in the creation and implementation
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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for robotics Robotics simulation and synthetic data generation Robot manipulation Deep learning-based planning You preferably have experience working in a biology or chemistry laboratory environment
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environment (e.g. cleanroom, laboratory Deep knowledge of solid state physics and/or quantum information Experience with microfabrication and/or operating and calibrating quantum systems Experience with
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and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy
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in Dr. Xiaoyi Lu’s PADSYS Lab to investigate scalable system software for emerging applications such as precision agriculture, digital twins, deep learning, and so on. The Postdoc will also be focused