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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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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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Job Description We invite applications for a postdoctoral associate position in theoretical quantum information science in the Physics Department of Virginia Tech. The successful candidate will work
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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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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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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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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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introduce innovative approaches for developing next-generation-quality physical genome maps for disease vectors. The candidate will characterize chromosomal rearrangements in the arboviral vector Aedes
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics