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creativity. Desire to take initiatives, solve problems, and handle substantial responsibility. Ability to successfully juggle and prioritize among multiple projects. Attention to details. Ability to prioritize
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relevant analytical techniques (e.g., flow cytometry, high-throughput sequencing (NGS), fluorescence microscopy, qPCR). Proficiency in standard molecular biology techniques (e.g., PCR, Gibson Assembly
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. · Familiarity with single-cell RNA sequencing, lineage tracing, or time-course transcriptomics. · Knowledge of developmental signaling pathways (Wnt, Notch, Hippo) and their manipulation. · Experience with drug
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training level. Preferred: · Experience generating or analyzing 3D organoid systems, particularly neural or sensory organoids. · Familiarity with single-cell RNA sequencing, lineage tracing, or time-course
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CPU cores. We analyze large public datasets, such as the Alzheimer’s Disease Sequencing Project and UK Biobank, and serve as the Biomarker Core for the Stanford Alzheimer’s Disease Research Center
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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multiple research sites Proficiency in Spanish and/or Portuguese Required Application Materials: To apply, please submit a single PDF file that includes a cover letter addressing how your experience and
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-FISH Preference is given to candidates with experience in RNA-sequencing, whole exome sequencing, and associated analytical pipelines Growth mindset and ability to adopt new data analysis modalities
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scale and resolution. This ambitious project spans multiple institutes including the Wu Tsai Neurosciences Institute, Stanford Bio-X, and the Human-Centered Artificial Intelligence Institute, bringing
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test the hypothesis that the targeting of multiple mutations will enhance survival in glioblastoma. We propose to identify an amino acid substitution that can enhance proteasome processing followed by