94 civil-engineering-soil-structure-interaction Postdoctoral positions at Stanford University
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for early detection of multiple cancers Assessing built environment's impact using health technology Environmental and neighborhood influences on health (physical, social, cultural environments) Health
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Posted on Thu, 05/29/2025 - 18:48 Important Info Deprecated / Faculty Sponsor (Last, First Name): Michel Digonnet Stanford Departments and Centers: Electrical Engineering Applied Physics Postdoc
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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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expansion of a novel gene editing delivery technology. This is a unique opportunity to unlock the vast potential of diverse marine organisms—including corals, sea stars, hemichordates, and tunicates
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deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work
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, cell types, and developmental stages, and how synaptic interactions may contribute to tumor progression. Ongoing projects include developing next-generation subcellular proteomic tools to map synaptic
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-immune interactions—are synchronized by gene networks, how these processes malfunction in disease, and ultimately apply this knowledge to engineer cell communication for therapeutic purposes. Required
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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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manuscripts and present at international conferences. • Mentor junior scientists and help shape the intellectual culture of the lab. What We’re Looking For • PhD or equivalent in Neuroscience, Cognitive Science
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combinatorial panning methods, including phage and mRNA display, to identify de novo peptides for promising biomarkers lacking a natural ligand or lead structure. We then optimize peptide ligands for affinity and