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themes or open a new line of inquiry; the common thread is rigorous social science on how people, firms, and governments make decisions about the ocean, and what policies or institutions could improve
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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on bladder, prostate, kidney, and lung cancers. Projects are designed to be tailored to the scholar's interests, and additional details can be discussed following initial inquiry. About the Lab The Diehn Lab
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for transformation. The Transformation Science Research Agenda TSP organizes its work around several areas of inquiry, which include recognizing and characterizing transformation, the politics of transformation, and
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, develop independent lines of inquiry, present at national and international conferences, and collaborate with a multidisciplinary network of investigators. The position provides strong mentorship and career
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experience with large database analyses and QA/QC. Advanced experience with coding Ability to communicate effectively, both verbally and in writing, and to provide information to scientific and research staff
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software tools, databases, and analytical workflows. Excellent organizational, communication, and problem-solving skills. Demonstrated excellence, innovation, and productivity in research. Ability to drive
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of scientific principles. Strong molecular and cell biology techniques, as well as experience working with mouse and human models. Strong general computer skills, experience with databases and scientific
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, professional development, publication in high-impact journals, and presentation at national and international conferences. By combining rigorous scientific inquiry with real-world clinical applications