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in an environment dedicated to advancing biomedical science. The department has numerous trainees including postdoctoral fellows, students earning DO/PhD, PhD and MS degrees. The trainees and faculty
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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relevant discipline or completion of a technical program and a minimum five years of related experience or an equivalent combination of education and experience. Some positions may require a graduate degree
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commences for the fall 2025 semester. Qualifications Minimum Education & Experience: Candidates must have earned a PhD or equivalent doctoral degree from an accredited program and demonstrate their commitment
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recognized research program with interdisciplinary connections across the CRI network at UT and ORNL. Contribute social science expertise to collaborative studies on the transition to circular bioeconomy