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Position Description Postdoctoral Position in focused antibiotic drug design The Franz Laboratory in the Department of Chemistry at Duke University is seeking a highly motivated and creative
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participatory design and student co-creation to develop responsible approaches to multimodal data collection, research design, and dissemination. ● Design and deploy a platform for linking measures of AI use
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processes. Ensure consistency and accuracy across imaging datasets and labeling workflows. Machine Learning & Model Development Support the design, development, and optimization of machine learning and deep
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: Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting
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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction
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will lead the execution of the experimental plan, work on the design of the data analysis methods, and perform the appropriate computational analyses. You will perform literature searches and use them
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. Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information. Design, implement, and evaluate
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-sensitive cilium of vertebrate photoreceptor cells. Explore pathophysiological mechanisms underlying inherited retinal degenerations. Experimental Design & Execution Design, perform, and optimize molecular
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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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, and metabolomics. Design, execute, troubleshoot, optimize, and document experiments with thorough attention to reproducibility and scientific rigor. Compile, interpret, and communicate research findings