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with machine learning techniques for robotic decision-making and intelligent control for tasks with high uncertainties. Experience with research on multi-agent collaboration and decentralized control
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the School of Planning (Bachelor in Urban Planning, Bachelor of Science in Urban Studies, Bachelor of Science in Horticulture, Master of Community Planning, Master of Landscape Architecture and PhD in Urban
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presenting findings from the scholarly activities at conferences. Minimum Requirements Prior to the effective date of appointment, a PhD in Computer Science, Computer Engineering, or closely related field
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servicing missions. Experience with machine learning techniques for robotic decision-making and intelligent control for tasks with high uncertainties. Experience with research on multi-agent collaboration and
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Science, Machine Learning and Deep Learning, in online and in traditional classroom settings. Participating in service-related activities, such as serving on departmental and/or college committees
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Intelligence (AI) and/or Data Structures, specifically related to Data Science, Machine Learning and Deep Learning, in online and in traditional classroom settings. Participating in service-related activities
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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
biomedicine. The ideal candidate must hold a PhD and possess strong methodological expertise in areas such as generative AI, machine learning, decision support methods, and the evaluation and validation of AI
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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
such as generative AI, machine learning, decision support methods, and the evaluation and validation of AI-driven decision support systems in medical and clinical settings. This individual should have a
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-clinical terminal degree (e.g. PhD, EdD) or Clinical doctorate (e.g. DPT, DAT, OTD). Ability to teach musculoskeletal anatomy or motor control including labs Demonstration of college level teaching An
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focus on space robotics research. Experience with autonomous robotics for space exploration or satellite servicing missions. Experience with machine learning techniques for robotic decision-making and