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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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Qualifications Knowledge of financial analysis, budgeting, and forecasting principles, as normally acquired through a Bachelor's degree in Finance, Accounting, Economics, or a related field and 2-4 years
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combining artificial intelligence with human expertise. The lab develops knowledge-grounded artificial intelligence, text mining and knowledge assembly, mathematical and systems modeling, and causal analysis
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environmental exposures and neurodevelopmental, behavioral, or health outcomes in children Knowledge of causal inference methods (e.g., propensity score analysis, directed acyclic graphs, mediation analysis
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and data science. This cycle's focus is on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed
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projects that may involve concepts and priorities such as knowledge-graph-driven data integration, AI-powered literature review, agentic database search assistants, multi-omics analysis tools, life sciences
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work closely with key stakeholders to identify and conduct data analysis projects that support the mission and goals of the University and Northeastern University Research Enterprise Services (NU-RES
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work closely with key stakeholders to identify and conduct data analysis projects that support the mission and goals of the University and Northeastern University Research Enterprise Services (NU-RES
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graph analytics, including: Graph modeling and analysis using tools such as NetworkX Graph-based ML or graph neural networks (GNNs) is a plus Deep understanding of PostgreSQL/PostGIS, geospatial analytics
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are not limited to): Introduction to Research and Research Design, Thought Leadership & Innovation, Leading Change & Policy, Data Analysis for Professionals: Visualization, Interpretation, and/or other