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SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania State University is
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models, network analysis, graph-based learning, uncertainty quantification, scientific machine learning, or interpretable AI. This position is full time, on-site at the Penn State University Park campus
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simulation, machine learning, battery manufacturing, electrochemical systems, materials characterization, or computational mechanics A strong publication record, preferably including at least three first
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Engineering Department at The Pennsylvania State University. This position involves the development and application of numerical analysis approaches using Machine Learning based multi-physics tools
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calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information
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at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity
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vibration control, with demonstrated expertise in stochastic dynamics or random vibration, computational modeling, and experimental validation of mechanical systems. The successful candidate will work closely
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SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop and
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, clinical trials, machine learning, optimization, or related methodological areas. Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged. Research
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to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine