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collection, including cognitive assessments such as computer-based testing, questionnaires, and health measurements, as well as brain measures such as electroencephalography and near-infrared spectroscopy
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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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have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in
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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
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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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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment