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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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research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g
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beneficials and count pest and beneficial insect densities from collected plant samples in a timely manner, and as directed. 3) Data collection and entry. Assist with data compilation and entry into computer
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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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the following directions: 1) Developing computational methods for integrating multi-modal data, such as scRNA-seq, scATAC-seq, spatial transcriptomics, ChIP-seq, and CRISPR screening. 2) Investigating context
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Job Description The Department of Computer Science, the Department of Electrical and Computing Engineering, and the Innovation Campus at Virginia Tech will be jointly hosting a Postdoctoral
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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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measures, including milk samples, infant fecal samples, measures of infant structural and functional brain development using MRI collect during natural sleep, as well as other functional neuroimaging methods
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measures, including milk samples, infant fecal samples, measures of infant structural and functional brain development using MRI collect during natural sleep, as well as other functional neuroimaging methods
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optimize LIFU as a new human brain mapping tool and for translation to clinical therapies in addiction, mental health and pain. Knowledge in basic computer skills, record keeping and experience with human