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, and computational workflows, including the use of high-performance computing resources as appropriate. Decision Making: Develop and implement numerical models describing laser-induced plasma formation
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chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources
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chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources
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genetic and multi-omic data integration. Experience with reproducible scientific computing, documented software, or Linux/HPC computing. Ability to communicate research findings clearly through
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. Demonstrated proficiency with scientific computing and programming languages, including R, MATLAB, Python, or similar platforms. Research experience examining wildlife responses to human activity
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ability to develop and apply Geographic Information Systems (GIS) methods and tools. Demonstrated proficiency with scientific computing and programming languages, such as MATLAB, R, Python, or similar