17 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Virginia Tech

  • Virginia Tech | Blacksburg, Virginia | United States | about 1 month ago

    in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending

  • Virginia Tech | Blacksburg, Virginia | United States | 3 months ago

    talks to professional audiences. Required Qualifications - Ph.D. in mathematics or a related discipline at the time of appointment. PhD must be awarded no more than four years prior to the effective date

  • Virginia Tech | Blacksburg, Virginia | United States | about 1 month ago

    , fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures

  • Virginia Tech | Blacksburg, Virginia | United States | about 1 month ago

    • Ph.D. in Nuclear Engineering, Mechanical Engineering, Materials Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one

  • Virginia Tech | Blacksburg, Virginia | United States | about 1 month ago

    year. The individual will also be responsible for writing documents, including grant reports and publications. Required Qualifications • PhD in Mathematics or a related field with a background in

  • Virginia Tech | Blacksburg, Virginia | United States | about 1 month ago

    collaboration. Required Qualifications - Ph.D. in Forest Products, Forestry, Natural Resources, Sustainability, or a related field. PhD must be awarded no more than four years prior to the effective date

  • Virginia Tech | Blacksburg, Virginia | United States | about 1 month ago

    , 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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