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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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applications. The ideal candidate will possess strong analytical and experimental skills to address complex challenges related to packaging dynamics, product protection, and sustainable material performance
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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