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predictive insights that support improved food and feed safety. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) utilize field and laboratory methods in plant
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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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, computational, and analytical methods. In addition, a broader set of learning objectives are associated with training, experience, and skills associated with research careers in a national lab setting. Stipend
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 4 hours ago
laboratory-based research on-site at NETL in Pittsburgh. At the completion of this appointment, the participant will be adept at stack sampling methods recommended by the Environmental Protection Agency
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learning variety of experimental, computational, and analytical methods. In addition, a broader set of learning objectives are associated with training, experience, and skills associated with research
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-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate methods through which AI agents guide
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global societal challenges. Illegal logging is the third most profitable global crime, worth an estimated €50–150 billion each year. Therefore, the European Union will introduce stricter trade rules (EUDR
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and demonstrates Naturalis’ ambition to use its scientific collection to help address global societal challenges. Illegal logging is the third most profitable global crime, worth an estimated €50–150
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network state methods. The research will be supervised by Professors Thomas Barthel and Norbert Linke. QLab is a user facility supporting the global community of quantum researchers, educators, and
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databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant physiological