62 modelling-complexity-geocomputation Postdoctoral positions at University of Washington
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(PET), functional MRI (fMRI), and electroencephalography (EEG), using advanced quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work
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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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. Experience with high-throughput molecular biology assays. Experience with complex functional experiments. Background in machine learning, AI, or data integration for genomic datasets. Familiarity with gene
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, innovative, and collaborative individual to join our interdisciplinary research group. The successful candidate will conduct original research in biophysical modeling and live-cell fluorescence microscopy
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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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modeling. The lab houses a state of the art mass spectrometry facility that specializes in metabolomics measurements of marine microbes and microbial communities. The successful candidate will work within a