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Experience: Experience in advanced analytical theories, predictive modeling, data mining, and data extraction. Experience in clinical and health services research. Expertise in using various statistical
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research in urology and development of research in urology surgical techniques, including bio-engineering research. Preferred Qualifications Education: Medical degree in the urology field. Skills
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controls. Work with clinical samples including serum, plasma, patient-derived tissue, ascites for EV-based biomarker discovery Mammalian cell culture for isolation of sEVs. Cell engineering to express new
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