68 algorithm-development-"University-of-Surrey" Postdoctoral positions at Stanford University
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immunosuppression, akin to PDL1-PD1 interactions. In collaboration with Carolyn Bertozzi’s group, we are developing bifunctional proteins that include an antibody to cell surface cancer proteins (e.g. PSMA, CA9) and
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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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language processing (NLP) to augment clinical decision-making and expand access to high-quality healthcare. Our lab develops new methods to improve model trustworthiness and leverages heterogeneous clinical data
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the Divisions of Immunology and Rheumatology and Pain Medicine. The fellow will have access to a collaborative environment and institutional resources supporting career development in academic medicine, including
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(Siglecs) on immune cells to effect immunosuppression, akin to PDL1-PD1 interactions. In collaboration with Carolyn Bertozzi’s group, we are developing bifunctional proteins that include an antibody to cell
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. The Translation Research Group is recruiting a highly motivated postdoctoral research scholar in Radiation Oncology Department at Stanford University School of Medicine. Major focus of the Group is to develop AI
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Opportunity Building User-Centered AI Agents in Consumer Settings We are seeking a Postdoctoral Research Fellow to join our project on developing user-centered AI agents in consumer settings. As AI agents
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translate extracellular cues sensed by GPCRs into specific phenotypic outputs. Developing quantitative proteomics approaches to capture the spatiotemporal organization of signaling networks and combining
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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the United States as well as clinical imaging and testing data from Stanford. Project themes will include developing models using EHR data to predict outcomes in ophthalmology and glaucoma, as well as investigating