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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 20 days ago
. Description: The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine
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interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain. Responsibilities of the position include building experiments to understand user’s
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Aug-25 Location: Burlington, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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required Strong training in economics, econometrics, and data science, with a demonstrated potential for excellence in research and teaching Priority will be given to candidates who have prior experience
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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Position Description The laboratory of Professor Fei Li in the Department of Biology at New York University (NYU) is seeking a highly motivated postdoctoral scientist with an interest in chromatin
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remain open until a suitable candidate is identified. Make sure that your application includes: A detailed CV (incl. information about IT/computational skills) A one-page letter of intent describing your
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal