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into the future. Strong candidates will be expected to have > 5 years of experience in these areas. Significant Data Science/Advanced Computational Modeling/Machine Learning/Big Data Analytics Experience and
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focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of
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. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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scientific research on computational linguistics, machine learning, practical applications of human language technology, and interdisciplinary work in computational social science and cognitive science. The
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familiarity with AFNI are strongly preferred. Knowledge, Skills and Abilities: General understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer
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students in H&S engage in inspirational teaching, learning, and research every day. DEPARTMENT DESCRIPTION: The Department of Classics is one of the founding departments at Stanford. The department is
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sample preparation. Instruct laboratory users in AMS data analysis, including error propagation. Collaborate with lab users, facilities staff, EH&S representatives and other facility lab managers as
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to remove barriers to learning. Inclusion and diversity are integral to Stanford's commitment to excellence. We are interested in candidates who have demonstrated experience engaging with diversity through
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, across all of Stanford's seven schools -- while also supporting and learning from each other in cross-project endeavors. We maintain and steadily improve an advanced research computing facility, and we