99 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Postdoctoral positions at Stanford University
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number of measures used in any one study, many questions about the relationship between EFs and dyslexia remain unresolved. Here we take an innovative approach involving a) development of new, open-source
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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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goal of informing public health policy. The postdoctoral scholar will have the opportunity to lead high impact research in infectious disease epidemiology and modeling across multiple pathogens. The work
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to contribute to Dr. Gardner’s current research (link is external) , The fellow will also be expected to support the formation and development of research ideas that will emerge from a new, interdisciplinary
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Stanford, and beyond. The fellow will also be involved in flagship projects which are large projects led by multiple Stanford faculty and funded through the newly opened Stanford Robotics Center that has
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of Ophthalmology, Stanford University School of Medicine. The Ophthalmic Microsystems Laboratory at Stanford is interested in developing new ocular therapeutics using novel micro and nanotechnologies. We integrate
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include 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation
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of advancing healthcare through the development, evaluation, and application of innovative methods. Through her research, she aims to effectively monitor, measure, and predict equitable healthcare outcomes. Her
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encompasses the early neural stem cell niche, neural tube closure, CSF, metabolism, and cortical neuronal development. We are dedicated to broad collaboration focused on translating an understanding
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not required as part of this position. Required Qualifications: Strong mathematical background, including expertise in one or more of the following areas: machine learning, statistics, and algorithms