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, game-theoretic analysis, network problems, decision analysis, or behavioral economics Proficiency in a scientific computing or statistical programming languages (e.g., Python, R, Julia, C++, or MATLAB
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motivated master’s-level graduate fellow with a background in surveillance, epidemiology, biostatistics, informatics, data science, or a related field. RESP-NET is a population-based surveillance platform
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pathology, bioinformatics, comparative evolution and other areas. You will also have opportunities to attend scientific conferences for presenting the research results and establish collaborative networks
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networks. Build a publication record and strengthen research skills through engagement with academia, federal science, and operational avalanche forecasting communities. Mentor: The mentor