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groups. The fellow will also help with grant writing to get practiced in the skill of academic fundraising that will be vital for their future career. Mentorship Structure The postdoc will be a member of
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cell-derived embryo models would be desirable. Experience with advanced imaging techniques. Experience with single-cell transcriptomics. Familiarity with multi-omics techniques, spatial analysis
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environmental stimulants. We employ an interdisciplinary approach to probe, model, and predict how signaling network dynamics translate extracellular cues sensed by GPCRs into specific phenotypic outputs
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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the mechanism of membrane protein biogenesis and quality control at the human endoplasmic reticulum using a combination of cutting-edge functional genomics, cell biology, structural biochemistry and
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actions on their behalf. This project aims to advance the design and implementation of AI agents that prioritize user autonomy, consent, and benefit, while also delivering real-world impact and contributing
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understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. Responsibilities: Conduct research on the mechanisms underlying
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of the selected candidate, budget availability, and internal equity. Pay Range: $80,000-95,000 The Alsentzer Lab at Stanford is seeking a postdoctoral fellow to advance trustworthy, deployable AI methods
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of physicists, engineers, and oceanographers interested in advancing our understanding of ocean science, water sustainability, and climate resilience. Our lab develops optical techniques based on spectroscopy
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external) How to Submit Application Materials: To begin the application process, please send an email using the subject line “Postdoctoral Position in Machine Learning for Advancing Mental Health” to Tina