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anisotropy for rotating magnetocaloric effect. The aim is to optimize the magnetocrystalline anisotropy on magnetocaloric single crystal-based particles composites to maximize the rotating magnetocaloric
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investigate dynamic phenomena and processes in the Martian atmosphere, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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distribu-tion, surface-atmosphere exchange, and radiative transfer modelling of SuperCam spectra from the Perseverance rover. Space weather impacts on atmospheric composition, using ozone retrievals from TGO
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political science and be proficient in conducting quantitative analyses. Experience with computational text analysis and large language models is an advantage but not a requirement. Knowledge in comparative
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or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants
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qualifications Applicants must have a very good to excellent command of English (written and oral). Applicants must be well-trained in conducting quantitative analyses. Experience with large language models