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. Treat populations adversely affected by chemical exposures. Develop educational tools describing relative risks of chemical exposures. Contribute to public policies related to environmental and
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required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope alignments, data acquisition, image processing and structure calculation using
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Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires
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Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires
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Posting Open Date Posting Close Date Qualifications Minimum Education and Experience The candidate should hold a PhD degree in Computer Science, Information Systems, Computer Engineering, or a related field
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets
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of the mechanisms by which environmental and occupational chemical exposures impact human health. Identify and measure human environmental and occupational exposures to chemicals. Treat populations adversely affected
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techniques. Keeps records of work performed and maintains a database as required. Collects, sorts, and processes MRI and EEG data, and performs data analysis. Maintains and keeps the MRI, TMS, EEG data