66 parallel-processing-bioinformatics Postdoctoral research jobs at Stanford University
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to treat malignant brain cancer glioblastoma. Part of our work centers on targeting EGFRvIII, which is splice variant of EGFR and is highly expressed in these tumors. Recently, we demonstrated a tyrosine
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postdoctoral position in computational biology/bioinformatics • Focus on analyzing multi-omic data from melanoma patients receiving TIL therapies • Co-mentorship by Dr. Allison Betof Warner and Dr. Zinaida Good
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics
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patients and established pipelines for data pre-processing, analysis, and integration (Good et al. Nat Med 2022; In Preparation). We now seek to build generative artificial intelligence (AI) models
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toxicology, with strong preference for proficiency in bioinformatics and programming to analyze and present results from large genomic datasets including bulk-RNA and DNA sequencing, single-cell sequencing
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Posted on Tue, 12/10/2024 - 12:02 Important Info Deprecated / Faculty Sponsor (Last, First Name): Krams, Sheri Stanford Departments and Centers: Surg: Transplantation Surgery Postdoc Appointment
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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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protein engineering techniques. In parallel, we are also looking for postdocs interested in developing high-throughput screens for single-domain antibodies, called nanobodies, that perturb intracellular
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive