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/protocols. Exceptional scientific writing, communication and presentation skills. Expert knowledge of MS-Office (Excel, Word, PowerPoint), graphing software (e.g., GraphPad prism, SigmaPlot) and strong
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description This project links together knowledge graphs with uncertainty quantification in situations where domain knowledge can be exploited. Each of these research areas is vibrant and important on its own
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, Software Engineering, or a related field. Demonstrated experience in deep learning and large language model research, joint modality representation learning, knowledge graph construction, particularly in
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
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for excellent scientists with background and experience in one or more of the following areas: graph algorithms, parameterized complexity, approximation algorithms, extremal combinatorics, structural graph theory
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facilities and industry networking opportunities. Key responsibilities will include: Coordinate data collection and analysis, preparation of graphs, figures, and manuscripts for conference presentations and
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knowledge graphs and multimodal embeddings for cancer patient digital twin construction. Lead and co-author high-impact publications and grant proposals. Collaborate with clinicians, bioinformaticians, and
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results details of experiments for publication in scientific journals or presentation to scientific conferences Participating in the development of figures, tables, and graphs. Where will I be located
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receipts of proposals, and maintaining a system to track proposals. Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal