Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Computer Science, Biomedical Engineering, or related field. • Demonstrated expertise in at least one of the following: – Large‑scale macaque electrophysiology (ideally Neuropixels) – Cognitive & behavioural
-
of decarbonized water and energy systems; and 3) supporting the design and enforcement of water-energy-food policies. We seek a new team member who enjoys team-science and engineering and would thrive
-
. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields. Prior experience working with data, including expertise with computational methods Prior
-
organic lead gen efforts, to drive quality leads to our outreach events and relevant applications to that program. Work with internal Admissions leaders to maintain consistency and reach of our brand and
-
use of cutting-edge informatics to prioritize causal variants for validation using functional genomics, including CRISPR. The overall goals of this work are to define novel disease targets and context
-
for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. The Mackall Laboratory is seeking a creative and motivated computational immunologist to join
-
or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing
-
and research potential Completed applications must be submitted online, [postdoc.awardsplatform.com]. Please direct questions to Chelsea Berkey, Senior Research Program Manager, cburris@stanford.edu
-
experience using mouse models of disease. Priority will be given to applicants with prior training in pulmonary biology, or candidates with expertise in computational biology or single cell transcriptomics
-
manage complex program budgets and ROI proposals. Delegate both routine and important tasks and decisions, while assuming final responsibility for event logistics through effective team management. Analyze