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#:39540 Job Summary: How can we turn the vast and rapidly growing collections of publicly available biological data into reusable engines for discovery? And how do we build the software infrastructure
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college or university in statistics, biostatistics, computer science or related field Experience in causal inference Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred
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Qualifications Experience with rodents (handling, brain surgeries, tissue harvesting) Experience in confocal microscopy and imaging software (Axiovision and Image J) Experience in image analysis techniques
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) software application primarily supported by the UIS eRA team and the Grants suite of modules from PeopleSoft Financials and Supply Chain system supported primarily by the UIS Grants team. The Principal
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communication skills. Ability to work independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with
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in causal inference ● Minimum of 2 years’ experience in statistical software R, Python or equivalent Preferred Qualifications: ● Experience with development of R packages or other
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. Postdocs will be expected to carry out computational research, develop novel AI and NLP methods, analyze data, and disseminate their findings, software, and data to the biomedical community. The postdoc will
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communication skills · The ability to work independently within the research lab on assigned projects. · Computer software, equipment operation, or research technical skills How to Apply: For full