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SPARK program. The laboratory has strong collaborations across Stanford and beyond, providing opportunities for postdoctoral scholars to expand their scientific expertise and collaborative networks
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such as transformers, self-supervised learning, multimodal learning, generative models, graph neural networks, or foundation models. Experience with structural and/or functional brain modeling. Familiarity
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, develop independent lines of inquiry, present at national and international conferences, and collaborate with a multidisciplinary network of investigators. The position provides strong mentorship and career
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Physiology Department at Stanford University studies how intracellular signaling networks are organized and remodeled downstream of GPCRs, the largest family of membrane receptors, which mediate most
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an evolving world We are pleased to offer an exciting opportunity for a postdoctoral researcher interested in the potential for nature-based climate solutions to achieve net-emissions reductions in an evolving
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. The UF Health network of hospitals and physician practices manages more than 3 million inpatient and outpatient visits each year, and serves patients from all 67 Florida counties, from across the nation
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transdisciplinary network. Required Qualifications: A completed Ph.D. in a relevant field, such as the social sciences, environmental studies, sustainability science, science and technology studies, public policy
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brings together a global, multidisciplinary network of collaborators and is grounded in a clear mandate: to generate high-quality evidence and build research capacity to meaningfully improve care for
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hypothesis driven mechanistic projects in vitamin A transport and transcriptional networks, integrating classic retinoid biology with lipid metabolism, inflammation, and translational human disease studies
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networks. More information about our research, publications, and group is available at cegelskilab.stanford.edu. Required Qualifications: PhD or equivalent doctoral degree in microbiology, chemical biology