89 parallel-and-distributed-computing-"Meta"-"Meta" Postdoctoral positions at University of Washington in United States
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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
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. 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
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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
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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
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and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques
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Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
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will contribute to our overall goal of advancing novel therapeutic targets for neurodegenerative disease. Candidates with backgrounds in computational biology, stem cell biology, or neuroscience
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level. The position requires working collaboratively with a team of experimental and computational biologists to integrate genetic and genomic data with mathematical modeling to better understand