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; data-driven reliability/load rating). Equipment Utilized Abaqus, LS-DYNA, Machine Learning. Physical Demands and Work Environment Primarily office/computer-based research with periodic laboratory and/or
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cloning and sequencing In-depth understanding of various genomic tools including sample preparation, data collection, and data processing, preferred. Experience in handling various genomic datasets
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for cancers survivors receiving cancer treatment. The Postdoctoral Associate will participate in the clinical trial conduct and process evaluation (e.g., conduct stakeholder interviews, code interview
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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