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qualifications Candidates should have training or experience with biomedical optics and intravital imaging. Experience with optical system design, circuit design, and computer programming will be particularly
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reliability, range, and data integrity. Collaborate with agronomists and farmers to identify key metrics and requirements for smart agriculture. •System Integration, integrate various sensors and devices within
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related datasets. Mixed methods approaches: background in integrating both quantitative surveys and qualitative data or policy analysis. Preferred qualifications Demonstrated research competence in areas
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molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
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California. This research integrates multi-platform remote sensing with in-situ datasets to establish baselines, evaluate trends, and analyze anomalies in water quality responses to environmental perturbations
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on advancing agricultural food technology through the integration of artificial intelligence (AI). Specifically, the Postdoctoral Scholar is expected to conduct intellectual research involving parallel and