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reinforcement learning and/or tensor networks are preferred. Other responsibilities include communicating results in journal publications and conferences as well as mentoring junior members of the group
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, and network optimization for 6G networks and FutureG wireless networks. Successful candidates will have the chance to work with top-notch researchers from both academia and industry on future wireless
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systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis
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specialization in Data Science/Applied Econometrics and its application in applied economics and social sciences broadly defined. The position is one-year, 12-month, calendar-year appointment, with the possibility
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including issues preferably related but not limited to the use of automation, decision theory, organizational theory and/or workforce social questions. - Experience in data science and working with large
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order
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on thalamo-hippocampal circuits underlying social aggression and pain regulation, with the goal of uncovering novel mechanisms that shape complex behaviors. This is an excellent opportunity for individuals
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aggression, with consideration of intervening social-cognitive interpersonal mechanisms. We have additional lines of research considering sex and gender differences in how stress and trauma impact broader