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with a minimum of one year eligibility remaining. •Strong expertise in first-principles modeling or molecular simulations relevant to catalysis, and experience with machine learning models. •Deep
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these opportunities with your long-term career goals. Required Qualifications • Ph.D. in Civil Engineering, Hydrology, Computer Science, Earth System Science, or related fields. PhD must be awarded no more than four
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Job Description A postdoctoral opening is immediately available in the Soft Materials and Structures Lab under the direction of Dr. Michael Bartlett at Virginia Tech (https://bartlett.me.vt.edu
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to align these opportunities with your long-term career goals. Required Qualifications • Ph.D. in Civil Engineering, Hydrology, Computer Science, Earth System Science, or related fields. PhD must be awarded
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, with opportunities to publish, contribute to proposals, and gain experience in laboratory and project management. For more information, please visit: https://nmfc.me.vt.edu/. Required Qualifications
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. Responsibilities: • Design and conduct experimental research on paper-based materials for food packaging applications. • Develop predictive models for packaging performance using machine learning and physicochemical
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& Machine Learning not excluding other modeling frameworks) of safety critical socio-technical infrastructure systems. The candidate will be primarily responsible for writing and submitting refereed journal
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undergraduate students in our experiential learning program. There will be opportunities to teach graduate or undergraduate courses. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve
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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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or, preferably, scientific machine learning (SciML). • Conducting research related to the improvement of the hygrothermal properties of cross-laminated timber. Desing and perform testing and analysis crate