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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor binding dynamics
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apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients. Participate in generating data for grant reporting. Understands
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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(e.g., smartphone sensor data, location history data). Assists in the preparation of grant applications for the funding of research activities, specifically gathering and organizing administrative
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, reptiles, amphibians, insects. Demonstrated experience using machine learning algorithms and Bayesian statistics within the R-language. Equipment Utilized Advanced computing systems. Physical Demands and
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updates to address system changes, including new encryption algorithms, authorization protocols, data packet configurations, and additional user groups. Maintains and upgrades software and hardware
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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, biomedical engineering, computer science, or a closely related discipline. Certifications/Licenses Required Knowledge, Skills, and Abilities Experience with motion analysis, wearable sensors, or signal
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data acquisition and analysis. Prior experience with quality-by-design principles, advanced sensor technologies, or continuous manufacturing techniques will be welcomed. An eagerness to identify key