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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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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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and Analysis CSE 107: Introduction to Digital Image Processing CSE 108: Full Stack Web Development CSE 111: Database Systems CSE 120: Software Engineering CSE 160: Computer Networks CSE 168: Distributed
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Structures CSE 031: Computer Organization and Assembly Language CSE 100: Algorithm Design and Analysis CSE 107: Introduction to Digital Image Processing CSE 108: Full Stack Web Development CSE 111: Database
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and Analysis CSE 107: Introduction to Digital Image Processing CSE 108: Full Stack Web Development CSE 111: Database Systems CSE 120: Software Engineering CSE 160: Computer Networks CSE 168: Distributed
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sensing image processing, and leverage R and Python for statistical analysis. You will also contribute to machine learning-based and hydrologic modeling to derive meaningful insights from environmental data
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outlined by Graduate Division/departmental guidelines. Able to work 20 hours per week in-person for the duration of the appointment. Preferred qualifications Demonstrated intention to graduate from a PhD
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field sites as well as sample processing and analysis in the laboratory. C. Developing and refining laboratory protocols in collaboration with the PI and graduate students. D. Organizing and archiving lab
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ecology of soils in agricultural and managed landscapes. B. Assist with collecting soil and plant samples from field sites as well as sample processing and analysis in the laboratory. C. Developing and
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approaches.” Qualifications Basic qualifications Open to applications who are up to four years post-PhD in Health/Public Policy in Public Health, or other related social, behavioral, or population science