242 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:" positions at Virginia Tech
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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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. The Fiscal Technician is expected to be a collaborative team player, process assigned work efficiently and accurately, attend to details, independently monitor workflow, and offer friendly and helpful
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effectively with diverse groups of people. • Demonstrated effective interpersonal skills and customer service. Physical Fitness • Will be required to participate in the Occupational Health Medical program
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regulatory submissions to internal and external IRBs; oversee operational workflows; and lead implementation of process improvement initiatives designed to enhance efficiency, compliance, and project delivery
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, with opportunities to contribute to technical leadership, program growth, and long-term sponsor partnerships. Required Qualifications -Doctoral degree in engineering, computer science, physical sciences
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oneself, other staff, and physical resources, especially in vineyards or field research settings. Demonstrated ability to work independently. Commercial pesticide applicator training and certification, as
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relating to computer and/or networking problems. May also identify and analyze software and network related problems and recommend solutions for those problems, assist users in maintaining their desktop
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, such as factsheets. A long-term goal of this position is to help establish a sustainable testing service program that supports the continued growth of the regional and national CEA industry. Required
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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characterization. The successful candidate will contribute to an externally funded research program focused on understanding structure-performance relationships in molybdenum-based zeolite catalysts for methane