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. Qualifications: To contribute to these research efforts, a successful candidate will have an earned PhD and technical expertise in one or more areas including deep learning, network and decision science
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, reinforcement learning, control theory and decision science, and mathematical optimization are preferred. Candidates will perform research on learning, optimization, estimation, and control of robotics and
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learning foundations, computer vision and perception, statistical learning theory, reinforcement learning, control theory and decision science, and mathematical optimization are preferred. Candidates will
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other faculty in the marketing department and to develop their own research program. A Ph.D. in marketing, decision sciences, psychology, behavioral economics, or a related discipline must be completed