28 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Virginia Tech
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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 postdoctoral associate will help to coordinate evidence-based learning networks of NPS units and other educational organizations to (1) direct data collection and conduct research on their programs and
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interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science
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Appalachian Blue Ridge Mountains. The Tholl lab welcomes applicants from diverse backgrounds. Required Qualifications - PhD degree in Molecular Biology, Biochemistry, Plant Science, or related field
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training opportunities at Virginia Tech, including preparation for going on the job market. Required Qualifications The postdoc’s PhD must be conferred prior to the date of appointment and conferred within
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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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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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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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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.
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, Software Defined Radio (SDR), Software Defined Network (SDN), Network Function Virtualization and Edge-computing systems design. Researchers will carry out research in network systems, with focus on large