70 parallel-computing-numerical-methods Postdoctoral research jobs at University of Washington in United States
Sort by
Refine Your Search
-
Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life on exoplanets. The position will be supervised
-
residents and decision-makers in identifying and reducing flood-related health dangers. This unique postdoc position combines anthropological and microbiome research methods, focusing on understanding how
-
Position Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
-
Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
-
or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques
-
conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
-
-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
-
disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
-
), Quantitative Methods, Rodents Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are unable to use our online application
-
, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical