117 parallel-computing-numerical-methods-"https:" Postdoctoral research jobs at University of Washington
Sort by
Refine Your Search
-
Scheduled Hours 37.5 Position Summary WashU’s Office of Postdoctoral Affairs (OPA) is seeking a Program Manager for Postdoctoral Services and Operations, who reports directly to the Assistant Vice
-
. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
-
Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is recruiting a motivated, creative, self-driven
-
Position Overview School / Campus / College: College of the Environment Organization: Applied Physics Lab Title: Postdoctoral Scholar in advanced ultrasound methods for both cardiovascular imaging
-
internship program, and numerous post-doctoral clinical and research fellowships. Learn More: https://psychiatry.uw.edu/ Salary The base salary range for this position will be $5,705 to $6,000 per month
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
candidates with strong expertise in Bayesian methods, uncertainty quantification, and/or machine learning applied to nuclear theory. The group’s research spans a wide range of topics including nuclear
-
Double Beta-decay (@NDB)” (https://tarheels.live/atndb/). The @NDB Hub involves theoretical physicists and statisticians at the University of North Carolina, Colorado State University, Los Alamos National
-
excellent at training new users of HCP-Style brain imaging methods. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https
-
Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard