94 civil-engineering-soil-structure-interaction Postdoctoral positions at Stanford University
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technology. The successful candidate will contribute to projects focused on gene therapy applications and the development of innovative viral delivery systems for therapeutic interventions, and genetic
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to the development of cutting-edge agentic systems. This position offers a unique opportunity to contribute to research on the interaction of AI and business. The postdoctoral fellow will be supervised by Professor
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Posted on Tue, 02/18/2025 - 15:23 Important Info Deprecated / Faculty Sponsor (Last, First Name): Lepech, Michael Stanford Departments and Centers: Civil and Environmental Engineering Postdoc
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EHR data for identifying cancer phenotypes, treatment patterns, and disease progression. This includes integrating LLMs with structured data sources to develop robust computational phenotyping
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, with a focus on combination therapies that account for cell-cell interactions. Experimental model systems will include cancer cell lines, organoid/assembloid models, and clinical tumor samples. Projects
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. Potential Projects Develop robust proteomic assays (e.g. proximity-labeling, phospho, or structural proteomics) towards mapping spatiotemporally resolved interaction and signaling networks of GPCRs. Apply
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well as (ii) how this game-creation experience affects children's own learning compared to playing existing games. This research will capture how young children interact with AI tools that transform their ideas
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interact with a diverse team, including clinicians, biostatisticians, and scientists across domains Independent and self-motivated researcher who is receptive to feedback and works well with directed
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digestion), and should have documented capabilities using a variety of simulation and optimization techniques. Familiarity with electric power grids and rate structures is highly valued, as is experience with
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Rejuvenation, Epilepsy and Pediatric Neurology. We are seeking a highly motivated and qualified post-doctoral scholar to lead studies using state-of-the-art high throughput drug screening technology to identify