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autogenic vs. allogenic controls on stratigraphic characteristics. Demonstrated experience in designing and executing field campaigns to study outcrops, as well as proficiency in designing sampling strategies
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-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the
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evaluating arts-based environmental education programs. Studying communication processes for accessible climate science information. Co-designing youth participatory action research initiatives. Required
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for working with various stakeholders. Preferred Qualifications Experience with AI/ML applications in environmental data. Proficiency in Python, SQL, and Jupyter Notebooks. Experience with LiDAR data processing