17 parallel-computing "Constructor Labs" Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
yeast Mif2/CENP-C promotes inner kinetochore assembly. Current Biology. https://doi.org/10.1016/j.cub.2023.01.012 (link is external) Drug Discovery: New Therapeutic Mechanisms In parallel, we use
-
of first-author publications in reputable peer-reviewed journals Demonstrated self-initiative and motivation, ability to collaborate, organize parallel experimental workflows, and interpret and present
-
the pharmacological industry; prospects for a career in academic or industry are high. In parallel with this effort, we are also working on anti Iglon-5, an HLA-DQ5 associated autoimmune disease
-
define the molecular basis for their modes of action in bacterial cells. In parallel, we investigate how bacteria build and organize their cell surfaces, cell walls, and extracellular structures; how
-
the Molè and Qiu labs as the lead experimental scientist or computational/AI scientist on this project. This is a unique opportunity to work in a cutting-edge, interdisciplinary environment
-
development Programming in Python, R, MATLAB, or related scientific computing environments Reproducible research practices, including version control, high-performance computing, and open science
-
-art methods in rapid protein testing and multi-unit electrical recordings with high-throughput one- and two-photon methods, in collaboration with other labs at the Wu Tsai Neuroscience Institute. This
-
(link is external) and https://www.engreitzlab.org (link is external) for more details about the labs and training environment. Required Qualifications: Have acquired formal training during their
-
characterize and define laboratory workflows for execution in self-driving, programmable cloud labs and to educate other scientists about these automated techniques. The post-doctoral scientist will work with a
-
Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational resources, including cloud-based computing and Stanford high performance clusters. We offer