17 distributed-algorithms-"Meta"-"Meta"-"Meta" Postdoctoral positions at Stanford University
-
external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
-
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
-
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
-
be distributed as open-source software to ensure reproducibility and transparency as well as supporting the extension of our approach to new domains. Required Qualifications: Doctoral degree Excellent
-
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
-
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
-
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