28 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Virginia Tech in United States
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include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience with data
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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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engineering, computer science, and any related fields, or MD with the equivalent level of training and lab experience. • PhD must be awarded no more than four years prior to the effective date of appointment
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opportunities. Required Qualifications • Ph.D. in neuroscience or related discipline. 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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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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Computer Science, Electrical and Computer Engineering, or related field by the time of appointment. Ph.D. must be awarded no more than four years prior to the effective date of appointment with a minimum of one year
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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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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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interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science