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workflow orchestration, scheduling, job queues, platform monitoring, and experiment status tracking. Connect robotics, scientific instruments, data services, and AI/optimization tools through reliable
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 6 hours ago
, Maryland. The Center for Drug Evaluation and Research (CDER) performs an essential public health task by making sure that safe and effective drugs are available to improve the health of people in
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efficiencies. Partners with senior developers, engineers, and stakeholders to deliver secure, reliable, and user-focused web services that meet organizational needs. Required Technical Skills Drupal or similar
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Network Engineer (Network and Communications Analyst IV, Range 1) - San Francisco Bay Region Network
solutions, infrastructure modernization, system integration, and service reliability. Evaluates networking technologies and service trends to recommend new and improved infrastructure solutions, future-state
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student assistant (f/m/d) to develop a data evaluation pipeline for the World-Earth Model InSEEDS, starting as soon as possible. The Max Planck Institute of Geoanthropology, founded in 2022, is a
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of Job Duties: We are seeking applications for a one-year Research Associate experienced in mixed-methods, applied research and program evaluation to join a new and growing evaluation center. Research
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data, evaluate retention efforts, analyze retention data, and improve graduation and retention rates. Maintains data collection, evaluation, and analysis for reporting and program assessment. Maintains
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adversarial evaluation. Expected outcomes include new algorithms for reliable adaptation, evaluation frameworks, open-source tools, and publications at leading ML/NLP venues. Supervisor Bio Dr Cass Zhixue Zhao
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ensure platform components integrate effectively with those services. Build and maintain test environments to evaluate candidate technologies for performance, functionality, operational reliability, and
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. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational