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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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their importance, the majority cannot be genetically engineered, and even those that can are notoriously difficult to work with. The postdoctoral associate will develop fundamentally new approaches for genetically
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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About the Opportunity ABOUT THE OPPORTUNITY The Di Pierro Lab is focused primarily on physical genetics. We are broadly interested in the physical processes involved in the translation of genetic
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods