123 modal-analysis-machine-learning Postdoctoral research jobs at University of Washington
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-threatening infection of heart valves. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring
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infant development. We seek a motivated researcher with expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Analytical Thinking, Collaboration, Communication, Computer Literacy, Data
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Genetics, Fisheries Science, Statistics or related disciplines Experience in basic laboratory techniques Thorough knowledge of population genetics/genomics Experience with the analysis of large-scale genomic
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. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring nCounter®. The postdoc would also
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-development and refinement of conceptual models; devising management scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief
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Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
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Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life on exoplanets. The position will be supervised
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/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications
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Position Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life