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prototype plug-in so that LCLS/qRIXS analysis workflows can call the Legion/KDRSolvers-backed RIXS solver, establishing the “not an island” software pathway requested by the directorate. Explore
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, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis are encouraged to apply. The position is available
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. SURI has active research in urban and regional scale risk analysis, multi-hazard risk analysis, modeling human impacts and post-disaster recovery process, and utilization of novel technologies to enhance
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-country partners, conducting rigorous data analysis, and contributing to the development of actionable insights for policy and program improvement. The start date is Fall 2025. This is a full-time (100% FTE
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responsibilities include: (1) Conduct computational methods development and analysis for systems-level understanding of host-immune responses to diseases. (2) Collaborate effectively with a team of multidisciplinary
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analysis, real-time PCR, immunoprecipitations, cloning), FACs/sorting, colony assays, lentiviral and retroviral transductions, transplantation experiments, xenograft models, peptide stimulation assays
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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experimental retinal biology, with strong mentorship and career development support. Primary Responsibilities Research and Experimental Work • Perform and lead bioinformatic analysis of single-cell RNA
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workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams of clinicians, economists, and policy researchers. Prepare