118 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at University of Washington in United States
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: A driver's license is not required for this position. More About This Job Preferred Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics, or a
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, transplantation into animal models of diabetes, biomedical engineering, bioinformatics, and single-cell sequencing technologies. Job Description Primary Duties & Responsibilities: Information on being a postdoc at
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for this position. Skills: Not Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: PhD in radiochemistry, organic chemistry, medicinal
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data, research records and materials and other intellectual property generated in University laboratories remain the property of the University. Working Conditions: This position works in a laboratory
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regulations. All data, research records and materials and other intellectual property generated in University laboratories remain the property of the University. Working Conditions: This position works in a
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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 (Hematologist at Bloodworks
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statement of research interests, and contact information for three referees. For questions please email: Dan Zhu, PhD, Research Assistant Professor of Radiology, Assistant Director of MRI Protocols for DISC
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not required for this position. More About This Job Preferred Qualifications: Experience with multi-omics data analysis. Experience with neuroimaging-behavior and/or neuroimaging-genetics analysis
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% FTE) postdoctoral scholar with expertise in fire modeling and remotely sensed data to support innovative research. This project will improve our understanding of the conditions under which fuel
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of metabolic states in retinal ganglion cells; spatial transcriptomic and correlated metabolic analysis of retinal ganglion cells; treatment of retinal ganglion cells in models of degeneration; data collection