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Field
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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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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into the hands of students and researchers. Essential Job Duties Work with multiple faculty from various disciplines in Earth and Planetary Science to facilitate the use of remote sensing data (e.g., optical
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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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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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(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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. It also may include implementing algorithms for signal processing, detection, classification, tracking, decision-making, and interfacing with hardware subsystems Collaborate within a team environment
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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with state-of-the-art equipment and instrumentation, programming software to interface with this equipment, software for logging/processing test data, real time programming of mathematical algorithms