17 computer-science-image-processing Postdoctoral positions at Virginia Tech in United States
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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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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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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with governmental and industry partners. • Familiarity with environmental policy and regulatory frameworks. • Experience in data science, computational chemistry, and/or contaminant transport modeling
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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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, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
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Job Description Applications are invited for a National Science Foundation funded (LEAP HI Program #2051685), Postdoctoral Associate position with the System Performance Laboratory (SPL
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will collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science. Required
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manufacture. We continue to push innovation for CLT and wood materials through research, education and outreach. We seek a highly motivated and collaborative researcher with expertise in wood science
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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will