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Engineering at Harvard University seeks outstanding postdoctoral fellow applicants with expertise in biomolecular engineering or science to develop enzyme-free ultrasensitive detection of analytes using DNA
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and extend skills in developing study protocols, drafting proposals, designing research instruments, creating analytical frameworks. Course work such as in causal inference or implementation science
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on conceptual development, data construction, analysis, and writing. Contribute to the design and implementation of quantitative text-analytic workflows and historical datasets. Produce high-quality scholarly
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environment. The fellow will conduct research into the design and implementation of interactive visual analytics and data visualization approaches for 2-D and 3-D tissue imaging date based on human-in-the-loop
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the following: doctoral-level degree in public health, social sciences, or a related discipline proof of successfully defending dissertation strong research skills, including data collection, advanced analytical
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of the HFH team who want to grow in their analytic capacity. Candidates must have research interests in areas such as well-being, human flourishing, and religious institutions, and a PhD in areas such as