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, measurement, and evaluation strategy, with a focus on cross-sector data infrastructure, linkage, performance measurement, evaluation, and continuous learning. Responsibilities: 1. Serve as a scientific partner
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characterizing healthy and JDM patient-derived muscle models and evaluating the effects of type I interferons on mitochondrial function and muscle physiology. What You'll Do: Lead and execute a translational
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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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degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
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of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: Education: PhD in Immunology, Data Science and/or
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recordings, intracranial stimulation studies, and sleep evaluations. Apply quantitative and analytical approaches to interpret multimodal research data. Utilize programming and data analysis tools such as
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and cellular model systems. Perform viability, clonogenic, and molecular assays to evaluate treatment response and biological mechanisms. Conduct and troubleshoot molecular biology techniques, including
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rodent behavioral assays to evaluate pain-related outcomes. Conduct in vivo miniscope imaging and in vitro/ex vivo calcium imaging experiments. Perform tissue and cellular imaging analyses using advanced
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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adherence, within-host differences in infectiousness, and uncertainty quantification frameworks to evaluate HIV intervention scenarios. Minimum Requirements: A PhD degree is required. Preferred Qualifications