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Field
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and associated algorithm definition/validation, relevant instrument simulators, quick look systems, the call for proposal system and mission planning systems; Monitoring and supporting the ESA SOC-led
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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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accurate and timely follow-up with staff, patients and families. Process accurate and timely admissions as requested. Patient placement in accordance with placement guidelines, fill algorithms and in
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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 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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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