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Job Description We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You
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modeling approaches. • Investigate interactions between food products and paper-based packaging materials across diverse product categories. • Collect, process, and analyze experimental data, including
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Qualifications •Ph.D. in Chemistry, Chemical Engineering, Materials Science, Physics, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment
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elements • Design and perform long-term laboratory testing on thermally modified wood CLT assemblies with various protective coatings. • Collect, process, and analyze experimental data; prepare technical
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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, and contact information for 3 references. Required Qualifications - PhD in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering or a related
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year. The individual will also be responsible for writing documents, including grant reports and publications. Required Qualifications • PhD in Mathematics or a related field with a background in
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• Ph.D. in Nuclear Engineering, Mechanical Engineering, Materials Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one
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for field work, project meetings and conferences. Required Qualifications • Ph.D. in Environmental Engineering, Chemical Engineering, Environmental Chemistry, or a related field. PhD must be awarded
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collaboration. Required Qualifications - Ph.D. in Forest Products, Forestry, Natural Resources, Sustainability, or a related field. PhD must be awarded no more than four years prior to the effective date