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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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summarizing results, trends, and interpretation. Prepare visuals (graphs, micrographs, charts) for internal meetings and publications. 6. Collaboration and interdisciplinary communication Work in an
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analysis, report generation, data visualization, and helping manage team logistics and communications. Developing monitoring and evaluation tools for the collection, analysis, and dissemination of findings
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an interactive visual dashboards and exploratory data analysis tools that enable hypothesis generation and pattern interpretation across multi-omics and clinical data. Design and develop an AI-powered analytics
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Notebooks; Expert in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Expert in social network analysis (SNA) using
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; Specialized in NLP, text mining, and graph analytics, including the use of NLTK, spaCy, TextBlob, VADER, and transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using
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analysis (SNA) using NetworkX, igraph, and Gephi for complex network and graph-based data exploration; Successful research grant writing and management record for federal (e.g., NSF, DoD) and state (e.g
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transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using NetworkX, igraph, and Gephi for complex network and graph-based data exploration; Experience with research grant
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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for regular meetings with the PI, conduct independent research, produce a literature review, offer independent analysis of findings, and create graphs, statistical output, charts, maps when requested