5 software-testing-short-course Postdoctoral positions at University of California, Merced
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wildtype fungal structures or culturing and growing them in the lab. Perform characterization tests including imaging, mechanical, and chemical testing and subsequent analysis. Analyze data to create
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technologies and methodologies for agricultural applications. Field testing and validation. • Collaboration and Communication, collaborate with interdisciplinary teams, including engineers, agronomists, and
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communication skills and be able to work well as part of a team. Additional qualifications Quantitative skills: Proficiency in statistical software (e.g., R, SAS, STATA) for data management and analysis of health
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quality algorithms and products (e.g., temperature, turbidity, chlorophyll-a) while developing novel methodologies to advance research on short- and long-term water quality conditions. Approaches may
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in Dr. Xiaoyi Lu’s PADSYS Lab to investigate scalable system software for emerging applications such as precision agriculture, digital twins, deep learning, and so on. The Postdoc will also be focused