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the field of dermatology, leveraging epidemiology, data science, and public health to advance health equity. Leandra A. Barnes, MD is an NIH-funded K scholar committed to elucidating the underlying mechanisms
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, Computational Neuroscience, or a related field Strong background in neuroimaging data analysis (e.g., fMRI, EEG) and computational techniques Expertise in machine learning, AI, and data modeling Proficiency in
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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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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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omics data analysis. ●General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. ● Demonstrated ability to apply theoretical knowledge of science
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Posted on Mon, 02/24/2025 - 12:56 Important Info Deprecated / Faculty Sponsor (Last, First Name): Plevritis, Sylvia Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment
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. Proficiency in molecular biology techniques such as DNA/RNA extraction, PCR, cloning, protein analysis, Sequencing. Familiarity with omics data analysis relevant to microbiome-host interactions. Experience
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for Education Policy Analysis (link is external) and the Education Data Science (link is external) program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education
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embryo development. The annual salary starts from $73,800, dependent upon skills and previous experience. For more information, please contact Dr. Matteo Molè at mmole@stanford.edu (link sends e-mail
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, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis