139 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Conservatorio di Musica "Santa Cecilia"
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contributing to the development of actionable insights for policy and program improvement. The start date is Fall 2025. This is a full-time (100% FTE), one-year appointment, with the possibility of renewal for a
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arisen in multiple species, making it an ideal system for studying the origins of asymmetric divisions in evolution. We seek a Postdoctoral Researcher to contribute to this project by developing a
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Posting Details Position Information Position Title Adjunct Faculty Non-Instructional Course Developer Position Category Adjunct FLSA Non-exempt Position Status Adjunct Location Remote 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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for (1) engineering BPAN genetic variants into cell lines; (2) developing cellular assays including of autophagy function and cellular survival; (3) working with the Stanford high throughput drug screening
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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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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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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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will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and
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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