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methods (e.g., community-based participatory research, interviews, focus groups, photovoice). Skilled in qualitative data analysis and community-based approaches. Demonstrated commitment and ability
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, such as hydrogen, carbon management, and emission tracking, would be beneficial. Additionally, the candidate should have experience applying advanced statistical or econometric methods to energy systems
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neuroimaging and computational analyses (i.e. machine learning methods, multimodal fusion, computational modeling) Demonstrated ability to use one or more programming languages for data analysis (i.e., Python
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