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records. Responsibilities: Conduct research on large language models and robot learning algorithms in a shared control loop for mobile manipulators. Follows research plans in order to collect, record, and
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to spatter landing sites Analyzing data from experiments using Python Train and validate machine learning model for processing data Writing/submitting manuscript of work to academic journals for publication
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with designing and implementing evaluation frameworks to assess the safety and alignment of autonomous AI systems. Analyze model behavior in open-ended environments and document safety implications. Help
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developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points
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perception models used in robotic safety loops. Research on runtime assurance, uncertainty monitoring, and evaluation metrics for safe human-aware robot operation. A combination of education and relevant
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skills, etc. based on the CPDC Assess/Brand/Connect learning outcomes model Creating, organizing and presenting career-related programs, workshops, career fairs and online learning content. Cultivating
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understanding of placental development through the integration of computational modeling and clinical imaging data within the Biomedical Flows Simulation and Multiscale Modeling (BioSiMM) Lab. Core
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research
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reports. Documents and processes results. Develops quantitative models. Contributes to overall project planning and acts as lead to coordinate portions of a large project or study. Ensures project deadlines