76 algorithm-development Postdoctoral positions at Stanford University in Ireland-University-Ranking-2024
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of facts makes the study of narcolepsy a simple model and resolving its immunological basis is likely to lead to novel insight into how autoimmunity develops. Finally, narcolepsy is also of great interest
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University is seeking multiple Postdoctoral Scholars to develop next-generation AI and imaging technologies for image-guided interventions and precision radiation oncology. Position 1: AI for Medical Imaging
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and Geographic Medicine, Stanford School of Medicine, with co-advising by Dr. Mathew Kiang, Assistant Professor of Epidemiology. The project involves developing a rigorous causal framework for assessing
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position is supported by a National Institute on Drug Abuse-funded R01 award. The position involves contributing to a dynamic team engaged in developing and applying a combination of statistical analyses and
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partnership with San Francisco Unified School District, and will be co-developed with teachers. We are particularly interested in a postdoc with experience developing pipelines to analyze complex, multimodal
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program on youth violence and injury prevention, and to develop the career and scholarly interests of the Fellow. Developing the research program will include supporting the team with quantitative
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, close mentorship, and the opportunity to develop an independent research direction within the broader neuro-adipose communication program. The postdoctoral scholar will join a collaborative environment
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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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. Shriti Raj’s lab. The successful candidate will contribute to research on the design, development, and evaluation of user-facing tools in healthcare settings. You will drive research on clinician–AI and