77 modeling-and-simulation-post-doc Postdoctoral positions at University of Washington
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Aug-25 Location: Seattle, WA Categories: Academic/Faculty Internal Number: 172348 The Marine Population Genomics
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applicant will work closely with industry sponsors who will help to guide the project. The Elbert lab and the industry partner are interested in developing mechanistic, predictive models of neurodegenerative
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Position Summary Research is aimed at understanding the pathogenesis of blood cancers, with a focus on myeloproliferative neoplasms. Experimental approaches involve mouse modeling, in vitro work in
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Cells, Zebrafish Models 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
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://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Engages in image acquisition with clinical MRI scanners. Post-processes and analyzes
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 07-Jun-25 Location: Seattle, Washington Type: Full Time Categories: Academic/Faculty Internal Number: 162704 Position
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equipment using a machine shop Expertise in reduced-order modeling of plasmas, including plasma chemistry. Instructions For full consideration, applicants should submit via Interfolio, the following by
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lab is dedicated to understanding the mechanical operating principles of the actin cytoskeleton in cellular membrane bending and trafficking. We utilize a blend of biophysical modeling, genome-editing
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opportunity to work with colleagues working on animal models of streptococcal sepsis and IE. This project is a multi-PI collaborative project with Paul Sullam (Microbiologist at UCSF) and Jose Lopez
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Training) at University of Washington School of Medicine, an R1 institution that is renowned for its innovations in telepsychiatry, integrated care models, digital mental health, implementation science, and