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funding. The postdoctoral scholar will conduct research in scientific computing, machine learning/artificial intelligence, data science, and inverse problems. The postdoc will be supervised by Professors
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is a partner in the Center for Decoding the Universe @ Stanford and provides opportunities to participate in cross-disciplinary activities in AI/ML and data science with the Stanford Institute for
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: [email protected] More Information https://www.cs.cit.tum.de/en/dss/home/ Print Find more topics on
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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academic programs and research activities is available at https://www.kaust.edu.sa. The PSE Division comprises five Programs: Chemical Engineering, Chemistry, Earth Systems Science and Engineering, Materials
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Schools, houses vibrant Industrial Engineering and Computer Science research communities (learn more at https://research.engineering.asu.edu/ ). We are seeking applicants who can strengthen our
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collaboration with energy system modelers Your Profile Completed master's degree in a STEM field; a degree in computer science, data science, or an AI-related discipline is preferred Strong interest in
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drought Motivation for modelling and data analysis Programming experience or willingness to develop it Good English communication skills (at least B2 level according to the CEFR: https://go.fzj.de