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Field
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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques
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submit papers to top journals in statistics, and top conferences in machine learning, statistics, and artificial intelligence. The candidates will also present their research at conferences in these fields
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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understanding of artificial intelligence applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI
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artificial intelligence for advanced modeling and analysis. The successful candidate must be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex
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of funding. POSITION SPECIFICS Postdoctoral Research Opportunity in Artificial Intelligence and Automated Vehicles Larson Transportation Institute, College of Engineering, Pennsylvania State University
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We are seeking a highly motivated Postdoctoral Researcher with expertise in computational biology, deep mutational scanning data, and generative artificial intelligence (AI). The successful