88 senior-lecturer-distributed-computing Postdoctoral positions at University of Washington
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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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, and natural beauty. The Department of Biomedical Informatics and Medical Education provides training, research, and service in education and informatics across the breadth of health sciences and health
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of Washington (UW) are seeking a Postdoctoral Scholar for a collaborative project with Nokia Bell Labs to investigate the capabilities of a potentially transformative multi-span distributed acoustic sensing (DAS
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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compliance with good laboratory practice including the maintenance of adequate research records. Engages in open and timely discussion with their mentor regarding possession or distribution of material
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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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regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Collegial conduct
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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
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking