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Field
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development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
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to contact is listed in each position, which can be found here . Place of work Place of employment is Aarhus University, and place of work is Department of Mathematics, Faculty of Natural Sciences, Ny
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, standards, and procedures. Ability to engage in domestic and international travel as required. Basic Qualifications: Ph.D. in statistics, applied mathematics, computer science, physics, engineering
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research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
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12 Sep 2026 Job Information Organisation/Company CNRS Department Institut des géosciences de l'environnement Research Field Environmental science Environmental science » Earth science Environmental
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 7 days ago
degree in a relevant STEM field, including Meteorology, Physics, Mathematics, or Computer Science. -Advanced programming skills with experience handling and analyzing big data (e.g., Python). -Previous
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fields – supporting the rapid growth and evolution of computer science and computational areas of allied fields such as mathematics, as reflected notably in the rise of artificial intelligence; computing
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computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience
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5 Sep 2026 Job Information Organisation/Company University College Dublin Research Field Computer science » Other Computer science » Other Researcher Profile Recognised Researcher (R2) Application
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collaboration with the Department of Advanced Computer Science and the Sensor Engineering group, creating a highly interdisciplinary research environment at the intersection of plant science, engineering, and