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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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Advisors: Kristen Okorn [email protected] (650) 960-5137 Questions about this opportunity? Please email [email protected] Qualifications Position Requirements: PhD in the physical sciences or engineering
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of Yuhua Duan. This project will be hosted at the NETL Pittsburgh, PA campus. Although material modeling with artificial Intelligence/machine learning (AI/ML) applications and experimental instrumental
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training, travel to communicate findings, and professional networking will also be available. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) plan, execute
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/national programs, academic institutions, and research consortiums. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) plan, execute, analyze, and communicate
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analyses. Learning Objectives: By collaborating closely with members of our interdisciplinary research team, you will gain invaluable hands-on experience to all phases of the research process. You will
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, especially those planning to pursue a future PhD, DVM, or MD. Learning Objectives: Under the guidance of a mentor and in close collaboration with senior laboratory personnel, you will have the opportunity
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, Analysis, and Services Program (GRASP) scientists. Learning Objectives: When training with the SSS, under the guidance of a mentor, you will further your understanding of micro- and nanoplastics (MNPs) and
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expertise in mass spectrometry. Learning Objectives: During the appointment, you will; Develop skills in chemical analysis, including the characterization of mealybug pheromones and related semiochemicals
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and global competitiveness of the U.S. farming industry through creation of enhanced maize genetic resources. Learning Objectives: You will gain experience within a collaborative, multi-disciplinary