36 finite-element-analysis positions at Columbia University in Ireland-University-Ranking-2024
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the management, organization, and analysis of multimodal research data, including neuroimaging, clinical, and behavioral datasets. The role is responsible for maintaining data workflows, supporting analytic
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, figures, data management, data analysis and other as needed for manuscripts, abstracts, posters and presentations. Support for other studies such as MESA, PROGRESS, and the CCCEH might also be possible
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, proficiency with data analysis tools, and experience in collecting or analyzing neurophysiological and brain imaging data. The research assistants will be involved in the acquisition and analysis of EEG and
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an Assistant Professor of Research with expertise in computational genomics, bioinformatics, and biomedical informatics/AI/ML to lead the analysis of large-scale genomic datasets. The candidate will direct
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the analysis, design, development, implementation and delivery of extracts, reports and other processing. This position plays a key role as partner with the subject matter experts and functional owners in
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systems on bare-metal, virtualized environments, or public cloud providers. Proficient in troubleshooting Linux server and operating system issues in a networked environment. Linux System Administration
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computational neuroscience, theoretical modeling, and neural data analysis. Experience developing theoretical models to investigate interactions among multiple brain regions underlying behavior is required
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cytogenetic, cytogenomic, and molecular genetic testing, including chromosome analysis, FISH, copy number analysis, genomic microarray, sequencing, and other genomic assays for both oncology and constitutional
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interpersonal and communication skills is essential. Setting requires exceptional flexibility, consultative skills, and active collaboration with other providers and team members. Documents essential elements
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analysis. The position is available immediately. The successful applicant should have experience in the use of and handling of genetic mouse models for study of the CNS, including directly working with