32 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Virginia Tech
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. Review of applications will begin on July 14, 2025, and continue until the position is filled. Applicants must have completed their PhD by the starting date of the position. Required Qualifications PhD in
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. Required Qualifications • Ph.D. in Aerospace or Mechanical Engineering. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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for writing academic publications, including grant reports and publications. Required Qualifications • PhD in Mathematics, Engineering, or a related field with a background in statistical and mathematical
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the area of analytical aeroacoustics. The position is concerned primarily with the sound of unsteady vortex flows and their interactions with edges. The position requires a PhD in engineering or a
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on their research and innovation campus. Required Qualifications - PhD and/or MD in Computational Biology, Bioinformatics, Genomics, Biology, Data Science, Computer science or other related fields. PhD must be
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also assist with grant writing, supervise junior trainees, and initiate new data collection, including activities surrounding study design, IRB submissions, community and participant engagement, and
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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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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 minimum of one year eligibility
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Job Description The Department of Computer Science, the Department of Electrical and Computing Engineering, and the Innovation Campus at Virginia Tech will be jointly hosting a Postdoctoral
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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