117 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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will continue to build from our learnings. https://pubs.rsc.org/en/content/articlelanding/2025/gc/d5gc01813g https://pubs.rsc.org/en/content/articlehtml/2018/gc/c7gc03747c https://pubs.rsc.org/en/content
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time off. To access this tool 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
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& Environmental Science offers a variety of undergraduate and graduate programs to educate, inspire and prepare the next generation of scientists. https://www.unr.edu/cabnr & https://www.unr.edu/bmb Search
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and quantitative gene expression analysis Excellent organizational, communication, and teamwork skills Certificates/Credentials/Licenses Computer Skills General office suite and willingness to learn lab
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, or demonstrate a willingness to acquire relevant expertise rapidly. Proficiency in coding, numerical modeling, and experience with periodic DFT codes or MOLCAS are desirable attributes. The start date
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to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key
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to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 29 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