39 finite-element-analysis Postdoctoral research jobs at Nature Careers in United States
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for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models
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, ability to work efficiently in a team and with collaborators Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage Experience in cellular immunology and
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with experience in data analysis, data management, and delivery of high-quality results for competitive projects. First-author, high-profile publications are required to share this element of discovery
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, or a related field. The ideal candidate will have a strong background in trade policy and energy economics, with a demonstrated ability to conduct rigorous quantitative and qualitative analysis
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the program will receive training in genomic analysis, experimental modeling, translational science, and preclinical modeling of childhood hematological malignancies. The training program will equip the next
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, troubleshooting results, data analysis, writing manuscripts, contributing to grants, and presenting their work at national and international conferences. Specific skillsets include tissue culture, flow cytometry
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cloning, PCR, flow cytometry, and analysis of immunohistochemistry, as well as other standard wet-lab assays. Candidates will also be responsible for analyzing genomic and transcriptomic datasets with
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. Core Skills: ● Strong expertise in conduct and analysis of genome-wide assays. ● Proficiency in mammalian cell culture and cell biology techniques. ● Interest in translational research and collaboration
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the department and across the university and join a cross-institutional research team focused on neuroscience, aging, and -omics data analysis. Responsibilities Develop and apply innovative machine learning
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to study neural circuit activity and pathology. Lead data acquisition, analysis, and interpretation using computational tools. Present research findings at lab meetings, conferences, and in peer-reviewed