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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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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product
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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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emphasis on adhesion control, wet/underwater adhesion, soft sensors, and multifunctional interfaces. Please include a cover letter, CV with publication list, no more than three representative publications
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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