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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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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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. 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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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
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goals, and at least three names for recommendation letters to Dr. Steven Poelzing (poelzing@vtc.vt.edu). Required Qualifications • PhD in single cell, tissue/organ, and in vivo cardiac electrophysiology
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) in their application packet. Required Qualifications • PhD in Chemical Engineering, Biomedical Engineering, Materials Science and Engineering, Biological Sciences, Chemistry or related field. The PhD
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datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding of malignant