27 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Virginia Tech
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researcher with expertise in public interest technology. The mission of the Public Interest Technology lab is to advance research, education, policy, and practice on the governance, design, and deployment
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biodiversity surveys for plants, microbes, and insects, soil health analysis, phytochemical analysis of fruits, and design and analysis of economic surveys. They will communicate results broadly to both
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field. The PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Possess a strong expertise in molecular dynamics
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geophysical and geochemical observations. Required Qualifications • A PhD in geophysics, planetary science, or related field of study by appointment start date. PhD awarded no more than four years prior
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and networking, with a particular focus on 5G and Beyond 5G technologies and applications of artificial intelligence and machine learning to wireless systems. The candidate will oversee the design and
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and publications. Required Qualifications - PhD in Mathematics or a related field with a background in statistical and mathematical modeling. - Research in mathematical applications to biological
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one-year with possibility for renewal for up to two-year appointment based on satisfactory performance and funding availability. Required Qualifications PhD in Crop and Soil Sciences, Soil Microbiology
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graduate students. Required Qualifications • Ph.D. in fisheries, biology/ecology, statistics, or related fields. PhD must be awarded no more than four years prior to the effective date of appointment with a
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well as part of a project team with a remote sensing professor and PhD student. The university values diversity and continually strives to maintain and promote an inclusive learning and research environment
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, developing optogenetic and CRISPR-based logic circuits, and using Raman spectroscopy to monitor cellular responses and validate model predictions. The work will directly inform the design of multiplexed