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implementing numerical models and conducting scientific simulations. Proficiency in scientific programming using Python, MATLAB, C++, Fortran, or equivalent programming languages. Demonstrated ability
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conservation questions. Analyze complex ecological datasets, including movement, camera, and spatial data. Publish research findings in peer-reviewed scientific journals. Develop and maintain collaborations
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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
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Employment: Standard CSU criminal background check (required for all new hires). A pproximately 3 weeks of on-site work at NIST in Gaithersburg, MD and attendance at national scientific conferences. Long test
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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