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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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performance in advanced nuclear reactor environments. Under the mentorship of the Center Director/PI, the postdoc will develop and apply novel experimental methods, advanced characterization techniques, and
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system optimization for remote construction. This position will focus on advancing research in construction assembly science and technology, logistics optimization, and real-time communication frameworks
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of causal machine learning and optimal policy learning. • Proficiency in other languages such as Stata, and/or Python modeling languages. • Research experience using Python. • Experience working with large
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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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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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systems. The individual will be responsible for: • Develop and implement models for the structural and mechanical performance and optimization of mass timber systems, using data-driven approaches
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of appointment will be two years. The position is on an interdisciplinary team of mathematicians, psychologists, and engineers who are exploring the dynamics of stress contagion in human crowds. The postdoc will