343 algorithm-"Multiple"-"U.S"-"Prof"-"Embry-Riddle-Aeronautical-University" positions
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expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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Responsibilities: Research (75%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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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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peer-reviewed journals. The Research Scientist works with large-scale datasets, conducts experiments to validate hypotheses, and refines algorithms for efficiency, scalability, and interpretability
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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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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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate