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Sciences, Chemistry, Physics, Computer Science, or related disciplines with a strong background in computational methods and machine learning. Experience in materials informatics, high-throughput
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Ref.: 531782 Work type: Full-time Department: Department of Chemistry (25200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Assistant
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