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on biomedical research. This department leads multiple federally and non-profit funded biomedical research projects, which are focused on the integration, analysis, and sharing of biomedical and health care data
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and possible refinement of source data and integration algorithms. Monitors various data sources and reports to prioritize and expedite incorporation into the database. Conducts mass data loads by
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the Pennsylvania Game Commission. The technologist will play a critical role in the early development of a machine learning algorithm that will identify tree species in mixed oak-hardwood forests from aerial
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(providing detailed information about each work to be read by algorithms). 3. Manage relationships with authors, agents, buyers, and reviewers. Carry out permissions research and royalty work (coordinating
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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to real-time aerosol sensing for adaptive route planning, and performing post-flight data analysis to link aerosol properties with changes in radiance across multiple wavelengths. We’re looking for someone
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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multiple affiliations. Job Title: BIOINFORMATICIAN I/Evaluation Lead (CTSI) Occupational Summary The Duke Health AI Evaluation and Governance (E&G) program focuses on ensuring the safe, effective, and
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes