28 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral positions at Virginia Tech
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Job Description The Department of Agricultural and Applied Economics invites applications for a postdoc position to develop and provide annual estimate of land use values of open space for all
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remaining. • Strong background in in vivo behavioral assays, electrophysiology, and/or imaging techniques. • Solid publication record in peer-reviewed journals. • Experience with stereotaxic surgery and
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Construction Engineering, Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field. Ph.D. in relevant engineering degree. PhD must be awarded no more than four years prior
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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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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- Recent Ph.D. in chemistry or appropriate related discipline (chemical engineering, materials science, etc.) awarded prior to being appointed. PhD must be awarded no more than four years prior
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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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the candidate to be comfortable with interactions with mice to maintain a successful operation of the research activities. Fundamental knowledge and an interest in molecular and cell biology is a necessity
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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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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