30 parallel-computing "Academic Europe" 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
-
participation in seminars and workshops and competing for fellowships Leadership: gain experience in project management, mentoring junior team members, and fostering collaborative research with academic
-
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
-
development Programming in Python, R, MATLAB, or related scientific computing environments Reproducible research practices, including version control, high-performance computing, and open science
-
high-consequence, emerging and re-emerging agents, and triage of candidate signals. Development and maintenance of bioinformatic pipelines in collaboration with academic and industry partners
-
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
-
, Hüttenhain R. An automated proximity proteomics pipeline for subcellular proteome and protein interaction mapping. bioRxiv 2023.04.11.536358. Academic environment: Stanford University provides a highly
-
offers protected time for independent research pursuing cross-cutting applications in surgical and cancer care, with formal mentorship and structured training to support future leadership in academic
-
‑performance computing cluster offer an unmatched playground for ambitious science. Key Responsibilities • Design, execute, and analyse high‑density electrophysiological recordings (e.g., Neuropixels) in