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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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microenvironment to drive malignant progression. Our research lies at the intersection of glial biology and brain cancer, with a particular emphasis on malignant glioma, the most aggressive form of primary brain
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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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, 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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interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science
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and the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA. The position involves conducting experimental research in the broad scope of wireless communications
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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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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for overtime Appointment Type Restricted Salary Information Commensurate with Experience Hours per week 40+ Review Date 8/8/2025 Additional Information The successful candidate will be required to have a
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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