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Field
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for research staff positions at the Lab after their fellowship appointments are complete. The recipients – up to two for this round of the selection process – must have a strong desire for independent research
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degree in computer science, information technology, engineering, health informatics or a related field; Research expertise and strong background in one or more of the following areas: Computer programming
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of the retinal cells. The candidate will be expected to: conduct human imaging in healthy and diseased eyes, perform data processing, analysis and presentation, upgrade AO imagers, fabricate AO model eyes, and
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
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extracellular vehicle or exosome therapy, c) in vivo electrophysiology, signal processing, or brain imaging. Other lab experience is helpful but not required: patch-clamp, brain slice cultures, optogenetics, and
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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cryo-EM and/or cryo-ET workflows Experience in image processing and/or biostatics Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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harnessing innovative synthetic biology, microbial engineering, and drug delivery approaches for improving human health in a sustainable manner. Currently, three directions are being explored: (1) engineering
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methods such as genetics, molecular biology, RNA-sequencing, FACS, biochemistry, confocal imaging as well as behavioral and -omic data analyses. These require accurately and effectively applying