99 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Postdoctoral positions at Stanford University
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Substitution in the Blind; Ocular Structures and Physiology; MR Engineering and Methods Development for the Visual System. MRI experiments will mainly be conducted at research centers at the Stanford campus and
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laboratory of Stephen Skirboll, MD and Albert Wong, MD, in the Department of Neurosurgery at Stanford University School of Medicine and the VA Palo Alto. We are interested in developing immunotherapies
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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for flexible load operation from IAW sectors in California. Our scope of work for this project is to develop and test a set of digital tools that enable water utilities to value, assess, and deploy energy demand
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radiobiological responses to FLASH RT. Maintain and operate irradiation platforms, dosimetry systems, and imaging equipment. Collaborate with internal and external investigators to develop new experimental
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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
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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection
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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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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA