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and broadly interested postdoctoral researcher with strong computational and data-analysis expertise who is interested in applied problems across experimental physics. The successful candidate
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supply-chain decision making; resilience, disruption response and scenario analysis; development of data-driven decision-support and optimization tools. The project will also explore whether selected
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: • Bioinformatics and computational biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine
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available in the Computer Science department at Purdue University. The research focuses on developing algorithms for the analysis of time series data using quantum machine learning models, and
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methodologies and data analysis. Ability to work independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working
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), resistant mutant isolation and analysis, bacterial genetic manipulation, target identification. Desired Skills - Candidates who have experience directly working with Enterococcus and/or performing in