22 distributed-algorithms-"Prof" Postdoctoral positions at Stanford University in United States
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through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with Profs. Irene Lo, Itai Ashlagi, and the Stanford Impact Lab on Equitable Access to Education Postdoctoral Fellow
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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include: adaptive planning approaches to address climate uncertainty; urban drought resilience; and water affordability. The postdoctoral fellow will work with Prof. Fletcher to design a research project of
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Alex ‘Sandy’ Pentland from the Stanford Digital Economy Lab at HAI, Prof. Diyi Yang from Stanford NLP Group, and Professor Erik Brynjolfsson from the Stanford Digital Economy Lab at Stanford HAI
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or conference on related topics. The faculty sponsor of this postdoc will be Prof. Li Liu. The appointment carries a twelve-month salary commensurate with the University Provost established minimum pay levels
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on-line application can be found on our website: http://prevention.stanford.edu/education/fellowship.html (link is external) Additional questions should be directed to Prof. Christopher Gardner, Fellowship
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(intracranial and scalp EEG) and MRI data sets. Develop and implement algorithms for data processing and interpretation. Collaborate with clinicians and researchers to design studies and analyze results. Present
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. This work involves developing novel techniques, algorithms, and software packages that enable more robust and scalable approaches to cybersecurity using AI-based techniques. In addition to technical
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into tangible products. Critically, this work will generate a large open-source dataset of child-created games that can inform future designs of educational games and AI algorithms. The postdoctoral fellow will
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systems. Includes establishing medical reasoning benchmarks and automated / scalable evaluation methods. Developing recommender algorithms to predict specialty care with large-language model based user