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. They will contribute to multi-disciplinary research on Alzheimer's disease, multiple sclerosis, and other CNS conditions, and develop innovative AI-powered approaches for data analysis and MRI acquisition
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laboratory techniques Thorough knowledge of population genetics/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written
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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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-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Utilize follicle and ovarian culture, biomechanical analysis, transcriptomics, proteomics, histologic approaches
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section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory
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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
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function. Knowledge and/or experience in high dimensional and conventional flow cytometry. Mouse handling and tissue processing. Generation and analysis of bulk and/or single cell transcriptomic data
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(or similar) data analysis. The candidate will work closely with an international team led by Dr. Kristin Braziunas and Prof. Brian J. Harvey at the University of Washington and Dr. Judit Lecina-Diaz
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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