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Current UC employees must apply internally via SuccessFactors You are invited to submit an application to be considered for a position with more than one opening. The number of positions varies depending on the needs of the department. Rank and compensation will be based on experience and...
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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undergraduate courses related to programming language, operating systems, computer architecture, data structures, and/or algorithms. Participating in service-related activities, such as serving on departmental
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logistics. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
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may include but are not limited to: advanced hardware and algorithms for neuromorphic computing; computational cognitive science to model behavior, perception, learning, reasoning, and decision-making
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algorithms for neuromorphic computing; computational cognitive science to model behavior, perception, learning, reasoning, and decision-making; and computational approaches for analyzing and interpreting
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activity. The College of Medicine is a top 50 Medical School for Research. The 2020 Nature index of Life Science for the University of Cincinnati is ranked as top 100 out of ~3800 Institutes worldwide. Prof
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, including autonomous robotic systems for In-space and On-orbit Servicing, Assembly, and Manufacturing (ISAM and OSAM) and space logistics. Develop and implement control algorithms for distributed multi-agent
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provided by technology. This programming seeks investigation of threats to justice posed by technology, particularly through algorithmic data bias, and the opportunities to leverage technology more