News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

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Give Input to Enhance Support of Early Career Researchers

Let NCI know what improvements you’d like to see when it comes to support for early career cancer researchers and trainees in data science.

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2024 CBIIT Summer Internship Program Accepting Applications

Apply for a summer internship opportunity at NCI’s Center for Biomedical Informatics and Information Technology! You’ll spend 10–16 weeks understanding and practicing data sharing, aggregation, and analysis.

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NCI’s Enterprise Vocabulary Services Poised to Support Real-World Data

Learn how you can employ NCI’s semantic infrastructure to expand the use of CDISC standards for Real-World Data analysis and the generation of Real-World Evidence.

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NCI’s MyPART Program Yields a Wealth of Data on Rare Cancers

NCI’s My Pediatric and Adult Rare Tumor Network (MyPART) program recently released a new long-term study, and an array of data resources, to help you in your research on rare cancers.

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New NCI-Supported Platform for Open Data Challenges

Explore a resource that lets you search for data challenges that address areas of unmet medical need!

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Sharing Cancer Research Software? NIH Wants to Hear from You!

Are you working with source codes, algorithms, workflows, and other software in your cancer research? NIH wants to hear from you! Respond today to help NIH develop new best-practice guidelines.

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Looking to Improve the Processes Around Real-World Data? Share Opinions with NIH!

NIH wants to hear from you! Give your perspective on how to better use Real-World Data in biomedical and behavioral research.

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Two NCI Fellowship Opportunities Available in Computational Biology and Bioinformatics

Check out these paid predoctoral and postdoctoral fellowship opportunities at NCI’s Center for Cancer Research.

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NCI’s Imaging Data Commons Helps Address Challenges in Computational Pathology

Having trouble reproducing results from machine learning (ML) computational pathology studies? See how NCI’s Imaging Data Commons may be able to help, as evidenced by a new study.

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Meet MOPAW—A New Tool for Using Multi-omics Data in NCI’s Cancer Genomics Cloud

Want to use multi-omics data to examine different genetic pathways underlying cancer, but you lack the necessary coding experience? Meet MOPAW, a new point-and-click interface that can help you make the most of your genetic data.

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