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experience with latent variable models (especially factor analysis, item response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex
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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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for leading scientific projects, including design and execution of experiments, analysis and presentation of data as well as contribution to manuscript, report and grant preparation. The candidate will also be
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-on experience in gastrointestinal physiology, immunology, inflammatory diseases, or stem cell biology. Experience in molecular and cell biology, flow cytometry, FACS cell isolation and analysis. Experience
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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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, such as interviews and think aloud and quant methods such as analysis of user interaction logs and experiment design. You will contribute to ongoing projects on clinician-LLM interaction and personal
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hematopoietic and leukemia cells, and an established humanized mouse model will be used. Technologies in the lab include standard biochemistry techniques (Western blot analysis, real-time PCR
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scholar will lead the management of research projects across the full project lifecycle, including study design, human research ethics (IRB) submissions, data collection, analysis, and dissemination
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computational analysis of large-scale pharmacogenomic datasets. The lab maintains active collaborations with medicinal chemists, structural biologists, and clinical oncologists at Stanford and elsewhere
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candidate will gain expertise in CRISPR screening, drug sensitivity profiling, target deconvolution, and the computational analysis of large-scale pharmacogenomic datasets. The lab maintains active