23 computer-programmer-"Multiple"-"U"-"O.P"-"U.S" "Prof" Postdoctoral positions at Virginia Tech
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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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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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computational data analysis. With guidance and support from the supervisor, the postdoctoral associate is expected to lead a project within their scientific discipline and collaborate with other researchers
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. - Interest in mentoring graduate students and contributing to the strategic direction of a dynamic research program. Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550
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background in coding. • Ability to work effectively with a diverse team from multiple disciplines. • Strong communication skills. • Enthusiasm for leading experiments with human subjects. Preferred
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. The candidate will have the opportunity to work on a project with focus on gene discovery and biosynthesis of plant volatile compounds with multiple values as natural defenses, flavors, and industrial value
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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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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Job Description Dr. Shenglin Mei lab at the Fralin Biomedical Research Institute (FBRI) Cancer Research Center- DC is seeking highly motivated Computational Biology postdoctoral associate to join
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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