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the framework of the SPIRou Large Programs. The goal is to exploit SPIRou data collected for a few tens of M dwarfs of various masses, to (i) study the radial velocity curves and filter out activity to unveil
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at the Canada-France-Hawaii Telescope (CFHT) since 2019 in the framework of the SPIRou Large Programs. The goal is to analyze existing and future SPIRou data for a number of T Tauri stars of various masses, ages
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. For further information about a specific subject see general curricula for the Board of the faculty of science and technology Further information Employment as a PhD student is limited to 4 years
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information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: According to agreement. For further information please
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Minimum Number of References
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concepts into accessible, domain-relevant learning experiences for students. The full job description is available here: https://computing.mit.edu/lecturer/ Job Requirements REQUIRED: PhD in Computer Science
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 3 days ago
are currently represented at the institutes. Find more information, including a detailed timeline, application guidelines, recruiting groups on our PhD website: https://phd.aithyra.at/
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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI