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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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the research lab on assigned projects • Computer software, equipment operation, or research technical skills How to Apply: For full consideration, please submit the following document(s): 1. A letter of
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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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) https://www.cu.edu/employee-services/benefits-wellness/new-employee/PBO/post-doc · benefits guide cover-post-doc-2024 (cu.edu) https://www.cu.edu/docs/benefits-package-guide-post-doctoral-fellows
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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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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