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: Department of Chemistry Position Summary: Assemble and test the electrochemical system. This will include adapting a program to run the instrument. Synthesize new materials based on the needs of other McCalla
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: Post-Doc in the area of AI-based solutions for high-level decision-making for robotic systems. Development, testing and evaluation of the co-planner assistant for operation of harvester machine
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metamaterial tessellations. Experimental testing of fatigue properties. Impact testing. Qualifications: Must have recently obtained a Ph.D. degree; preferably in Mechanical Engineering. Extensive experience in
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multimodal data (video, self-report, physiological sensors, automatic facial recognition software) that examines CER in multiple contrasting contexts. And (3) Advance educational theory and practice by
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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tools Contributing to leadership training materials and mentoring junior trainees Supporting courses, stakeholder convenings, and public engagement Pursuing independent publications and funding aligned