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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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. The successful candidate should also be detail oriented and enjoy a diverse working environment. Required Qualifications • PhD in biology, neuroscience, genetics or related field. PhD must be awarded no more than
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existing expertise while providing opportunities to gain new skills in a collaborative and productive research environment. Required Qualifications - Ph.D. in Biology, Neuroscience, or a related field. PhD
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Qualifications - PhD in neuroscience, computer science, or related field. 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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, 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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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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start date. Experience in brainstem analysis using neuromelanin imaging at both structural and functional levels Experience with various functional connectivity approaches (e.g., PPI, Beta-Series, and C
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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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closely related field. PhD must be awarded no more than five years prior to the effective date of appointment with a minimum of one-year eligibility remaining. Preferred Qualifications - Knowledge