92 finite-element-analysis Postdoctoral research jobs at University of Washington in United-States
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Analysis and Research Group (EPAR) Position Details Position Description The Daniel J. Evans School of Public Policy & Governance is a nationally top ranked public policy school, serving nearly 500 students
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technologies, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human
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procedures for data collection and data analysis. Subject recruitment and obtaining consent. Data Analysis Develop data analysis pipeline for collected data. Perform statistical analysis for collected data and
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on sustainable waste treatments and bio-productions. Key responsibilities include conducting fermentation, bioreactor operations, and cell growth analysis using imaging, OD analysis, and HPLC metabolite
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elements. Exposure to chemicals. Physical Effort Typically standing or walking. Occasional lifting (< 25 lbs). Ability to move to on and off-campus locations. Equipment Lab/research equipment. Using tools
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, computational genomics, functional assays, and integrated data analysis. We are seeking a highly motivated Postdoctoral Researcher who shares our passion for solving foundational problems in human genetics and
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certification is required for this position. Work Experience: No specific work experience is required for this position. Skills: Data Analysis, Scientific Writing Driver's License: A driver's license is not
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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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-on experience with cryo-EM and cryo-ET sample preparation and analysis, heterogeneity analysis tools, mass spectrometry, biochemistry, membrane biology, and cellular assays. The role encourages collaborative
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research team. Our work focuses on craniofacial regeneration and distraction osteogenesis, using cutting-edge multi-omic approaches (single-cell and spatial transcriptomics, genetic and biochemical analysis