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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
@jpl.nasa.gov (818) 793-4606 Questions about this opportunity? Please email npp@orau.org Qualifications The selected candidate must have a PhD degree in aerospace engineering, or related field; must have
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algorithmic fairness Formulation of new problems and research directions and translating topical issues into algorithmic problems Designing new algorithms and investigating their performance on synthetic and
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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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funded by the São Paulo Research Foundation (FAPESP) and the National Natural Science Foundation of China (NSFC) involving UNICAMP and Zhejiang University. Candidates must have defended their PhD less than
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found on the project website.The selected candidate is in this context expected to take up some mentoring responsibilities towards PhD students and MSc studentsworking on the project. Candidates should
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applications in the media change journalism, the public sphere, civic engagement and economic competition. We will develop and test new AI-applications to help solve problems such as disinformation, algorithmic
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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, glacier speedup, and ice-ocean interaction. Candidates will work with satellite altimetry, velocity datasets, and climate data to quantify ice sheet mass balance and dynamics. Applicants should hold a PhD
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algorithms at scale on ORNL's computational resources, including the Frontier supercomputer, addressing critical challenges in science and engineering. Communicate and coordinate experimental results with
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Requisition Id 15448 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large