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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
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of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area. The position involves conducting research in signal processing, machine learning
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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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and Episodic Future Thinking as an intervention for tobacco use disorder in military veterans. Postdoctoral Associate responsibilities will also focus on the use of the International Quit & Recovery
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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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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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talks to professional audiences. Required Qualifications - Ph.D. in mathematics or a related discipline at the time of appointment. PhD must be awarded no more than four years prior to the effective date
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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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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applicants from diverse backgrounds. The anticipated start date for this position would be in Spring 2026. Required Qualifications PhD in relevant field (microbiology, genomics, etc) Knowledge of virology and