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. Research computing facilitation experience (e.g., genomics, computational chemistry, mathematics, data simulation/visualization, AI/ML, etc.). Experience scripting in Bash, Perl, Python, or similar scripting
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, configuration management, system software deployment, infrastructure source code version control, and/or telemetry. Research computing facilitation experience (genomics, computational chemistry, mathematics, data
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Biomedical Engineering or Chemistry or a related field and demonstrate a record of academic achievement in research. The College and/or the Chemical and Biological Engineering Department will establish a
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will hold a terminal degree in Chemical Engineering, Chemistry, Physics or a related field and demonstrate a record of academic achievement in research. The College and/or the Chemical and Biological
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analysis. Preferred Qualifications: Ph.D. in Polymer Chemistry and three (3) years of relevant research experience, to include strong publication record and demonstrated experience in research study design
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science and engineering, ceramics engineering, chemical engineering, chemistry, physics, or another closely related field from an accredited institution. Applicants must have conducted prior research work
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candidate for a Postdoctoral position. This position is available to individuals with research interests in water chemistry. The candidate will be advised by Dr. Daqian Jiang. Successful candidates will hold
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Associate/Full Professor of Artificial Intelligence/Machine Learning in Geological Sciences - 521302
or Full Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine
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or Associate Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine
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Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine-learning