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candidate will conduct cutting-edge research on coordinated autonomous ground and aerial robotic systems, focusing on multi-agent collaboration, autonomous decision-making, perception, planning, and control
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, integrates, and evaluates innovative solutions in autonomous systems, including artificial intelligence (AI), machine learning, robotics, control systems, sensing technologies, and related disciplines
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assists with diagnostic parasitology service. Procedures Training personnel (graduate student, undergraduate and DVM students, and part-time workers) providing leadership and quality control for all data
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prepare research protocols, conduct studies, and publish papers on human factors and control measures related to transportation and roadway safety, emerging technology integrations, and wearable device and