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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-PF [#27988] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh
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relativity, The analytical and numerical study of the potential breakdown of effective field theory methods outside black holes, The analytical and numerical modeling of the dynamics of (and gravitational
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collaborations among operations researchers, statisticians, and computer scientists to overcome the methodological challenges posed by the misalignment between historical methods underpinning modern data science
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, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding
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relativity, The analytical and numerical study of the potential breakdown of effective field theory methods outside black holes, The analytical and numerical modeling of the dynamics of (and gravitational
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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, pharmacoepidemiology methods development). Through this fellowship, you will have opportunities to learn: Understanding of pharmacovigilance workflows; GenAI based algorithm and agent development for causality
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enthusiastic Research Fellow to help in the development and application of novel 3D bioprinting methods for disease modeling and therapeutic tissues. The ideal candidate will report to the Principal Investigator
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, or engineering of AI models or methods and their applications in cognitive science. The AI Postdoctoral Research Fellow joining the NAM initiative will contribute to one or both current core projects, "Explanation