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that makes that reuse possible at scale — not just once, but sustainably, across the research community? The Davis and Krishnan labs work at the intersection of these questions. We develop ML/AI methods and
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statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with clinical
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in pre-clinical modeling of disease and molecular neuroscience methods. Experience with neurophysiology and rodent behavior is preferred. This unique opportunity will provide substantial training in
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, qualitative research (individual interviews and/or focus groups), case studies, mixed methods, experimental designs, meta-analyses, systematic reviews, and/or quantitative analysis of large datasets
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advanced NMR methods and develop cryo-EM expertise to study structure–dynamics–function relationships in these systems. Work Location: Onsite – this role is expected to work onsite and is located in Aurora
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and health. The lab conducts method-driven research in natural language processing (NLP) and artificial intelligence (AI), with an emphasis on LLM reasoning, uncertainty quantification, interpretability
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statistical and computational methods motivated by potential applications to observational studies. The work will involve both methodological research with biostatistics faculty and collaboration with clinical
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research · Experience with application of D&I theories, models, and frameworks and assessment of implementation outcomes using qualitative, quantitative and mixed methods is especially valuable