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Field
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Responsibilities: Research (75%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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peer-reviewed journals. The Research Scientist works with large-scale datasets, conducts experiments to validate hypotheses, and refines algorithms for efficiency, scalability, and interpretability
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algorithms and techniques for advanced manufacturing applications. The group consists of highly talented experts in image/signal processing, mechanical engineering, data analytics including artificial
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate
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into the hands of students and researchers. Essential Job Duties Work with multiple faculty from various disciplines in Earth and Planetary Science to facilitate the use of remote sensing data (e.g., optical
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to build end-to-end diagnostic pipelines. Dynamic Imaging Analysis: Develop and optimize algorithms for time-resolved imaging data, including cardiac cine MRI and dynamic contrast-enhanced series