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Field
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software called Visual Compliance to perform RPS, which involves a review of government lists to ensure that the university is not interacting with a person or entity who is on a restricted, blocked
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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activities related to cloning and/or synthesis of nucleic acid nanotechnology Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from
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facilitating teaching, capacity building, training and interaction in the project sites, when necessary. Conduct systematic reviews and meta-analysis and synthesis of outputs to produce peer-reviewed
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candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in different brain models (tree shrew, macaque, human neurotypical
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Visual Compliance to perform RPS, which involves a review of government lists to ensure that the university is not interacting with a person or entity who is on a restricted, blocked, unverified
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. Some of the scientific questions that motivate our work are How do different regions of the brain interact to learn new motor skills? What are the neural mechanisms underlying optimal performance in
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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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remotely-sensed data into models and decision support frameworks. Explore visualization and communication mechanisms that enhance utility of information for a diverse stakeholder group including producers