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molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental protocols and equipment. · Design, execute and document experiments with sufficient detail to understand
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Summary We are seeking a highly motivated postdoctoral associate to join our research team investigating the role of diet on hypertension, weight control and other health markers. This position is an
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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(qPCR, western blot, histology). • Evaluate adeno-associated viral-mediated gene therapy approaches for respiratory dysfunction. • Optimize and troubleshoot protocols, reagents, and equipment
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holography and electronic systems for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should
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Postdoctoral Associates. Scope of Work: • Lead the design and synthesis of novel chemical entities. • Optimize reaction conditions and processes for the synthesis of lead compounds. • Perform detailed analysis
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verbal. o Ability to work at Duke University PREFERRED: o Experience with marine science and/or tropical environments; o Experience working with GitHub or other version-control platforms; o Experience
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microfluidic analogs of phloem sieve plates and other plant hydraulic elements. Conduct controlled flow-pressure experiments to evaluate aspects of the theoretical predictions and quantify resistance mechanisms
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, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control the dynamics of microbial communities in time and space. Ongoing projects
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Rubin Observatory, LSST DESC and Roman PITs to prototype shared tools and standards ● Contribute to open-source software infrastructure with reproducible workflows and proper version control ● Optionally