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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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, and the willingness to work with multiple researchers, and technical staff in an interdisciplinary environment; Must be able to exercise judgment and discretion, and to prioritize and manage multiple
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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premier research programs with national and international recognition. The Department invites applications for multiple tenured or tenure-track positions at the Assistant, Associate, or Full Professor
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judgment, completing tasks with minimal supervision. Capable of identifying and solving complex problems involving multiple stakeholders. Experience managing daily deadlines and long-term projects. Able
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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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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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to the spread of false information, political division, and public trust in media. Platform Design, Policies, and Civic Engagement: Investigating how social media platforms’ algorithms, moderation policies, and
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recognition. The Department invites applications for multiple tenured or tenure-track positions at the Assistant, Associate, or Full Professor levels. The positions are 9-month full-time appointments, paid over
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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