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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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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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to successful work-based learning and internship support services. The Professional Development and Experiential Programs team conceptualizes and executes programs, services, and resources that help Virginia Tech
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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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various groups. Demonstrated computer skills in Microsoft applications for database management using electronic spreadsheets. Experience in prioritizing tasks and working independently while performing
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the School of Neuroscience since 2015 (http://www.neuroscience.vt.edu). Successful candidates will teach as well as establish a competitive research program that can attract extramural funding from a wide
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no later than the sixth year of employment. Demonstrated ability to recruit, select, train and manage volunteers; demonstrated ability to lead groups, plan, implement, facilitate, teach, and evaluate
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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ecosystems, or climate adaptation frameworks (i.e. Resilience Adaptation Feasibility Tool); and/or an enthusiasm to learn about climate issues in coastal Virginia. ● Experience engaging with community
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degree completion. Joining our team means becoming a part of an inclusive and supportive work environment. You will have the opportunity to engage with a diverse range of individuals, learn from