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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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at Manhattan University More Jobs from This Employer https://main.hercjobs.org/jobs/22443389/facilities-project-manager-design-construction Return to Search Results
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of high-quality solutions and services. We provide secure, stable, and reliable infrastructure and applications that support the mission of the University. ITS supports and enables faculty research and
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for external audiences. · Think critically about AI-generated content rather than accepting it at face value. · Are organized, reliable, and comfortable with structured tasks like data tracking and reporting
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NIST only participates in the February and August reviews. Join a team of scientists and engineers who are investigating the reliability of the structural materials that are used for machinery
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, calibration and reliability of large pre-trained models Probabilistic generative models and world models Probabilistic machine learning for scientific discovery Don’t see your exact idea listed? We encourage
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Determine, implement, and maintain performance monitoring and tuning strategies to ensure that databases operate within security, reliability, and availability requirements Configure logging and monitoring
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, complex environment. Strong attention to detail and commitment to maintaining accurate and reliable data. Ability to work both independently and collaboratively and to exercise appropriate discretion when
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equitable collection practices. Conditions of Employment This position follows a hybrid work structure where employees can work remotely or from the office, as needed, based on demands of specific tasks
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and frameworks. Conditions of Employment Occasional work during the evening and/or weekends may be required. This position follows a hybrid work structure where employees can work remotely or from