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of early pre-malignant development of ovarian carcinoma and development of early detection/screening tests/algorithms of ovarian cancer. Qualified candidates must have a Ph.D. degree in Biology, Cellular
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selected preventive and corrective maintenance duties as directed; for monitoring and operating building automation system hardware, software, sensors, and components. The incumbent will be responsible
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selected preventive and corrective maintenance duties as directed; for monitoring and operating building automation system hardware, software, sensors, and components. The incumbent will be responsible
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algorithms, creating software, and investigating new approaches and technologies. Assists with the development of conceptual project design and instrumentation, software programs, and data collection methods
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selected preventive and corrective maintenance duties as directed; for monitoring and operating building automation system hardware, software, sensors, and components. The incumbent will be responsible
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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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to create analytic data cohorts (study cohorts). Apply machine learning methods on clinical datasets to identify predictive factors – selecting algorithms, preprocessing data, training models, and evaluating