17 distributed-algorithms-"Meta"-"Meta" Postdoctoral positions at Stanford University in United States
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA
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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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single-cell sequencing, spatial transcriptomics, and machine learning algorithms to to understand, at the tissue and organ level, how specific cellular communications—from synaptic connectivity to neural
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environment across multiple teams, with the ability to prioritize effectively. Being highly self-motivated to leverage the distributed supervision structure. Must be able to work well with academic and industry
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environment across multiple teams, with the ability to prioritize effectively. Being highly self-motivated to leverage the distributed supervision structure. Must be able to work well with academic and industry
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engineering or the department of oceans and carry out laboratory and field measurements to better understand the distribution, persistence, and sources of pathogens in the environment. This could include, but
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cancer epidemiology with a Ph.D. degree in biostatistics, operation research, epidemiology (with strong computation skills), or related fields and hands-on experience in algorithmic implementation and