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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
the possibility of reappointment for an additional year. It will involve developing, implementing, and validating novel algorithms for analyzing SWOT data; writing scientific papers; and presenting research
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computational analysis, including algorithm development, will be integrated throughout the program. Managing collaborations with other research programs within and outside of the lab will be necessary
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, troubleshooting problems, and helping prepare manuscripts. Primary experimental research and computational analysis, including algorithm development, will be integrated throughout the program. Managing
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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demonstrated by successful applications for external funding. Extensive experience in immune repertoire data analysis, bioinformatics algorithms and software development. Deep understanding of molecular biology
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lab operations. Responsibilities Independently perform basic and advanced level statistical analysis and algorithm implementation for high-throughput sequencing data. Act as a liaison between end-users
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data
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recognition neural networks (e.g., Tsetlin Machines, Graph Neural Networks, RNNs for time-series causal discovery, XGBoost). AI-driven heuristic search (e.g., genetic algorithms, genetic programming, simulated
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, clustering, dimensionality reduction) to extract meaningful insights from multi-modal data. ● Develop and implement algorithms to process, clean, and transform large datasets to support research objectives