The National Institutes of Health is made up of 27 different components called Institutes and Centers and a central Office of the Director. Each project below is sponsored by a different institute, center, or office within the NIH, which will be listed at the top of each description.
See the full announcement at https://datascience.nih.gov/data-scholars.
Topics for individual projects are intended to represent key areas of expertise involved in the overall project. Candidates need not be experts in all key areas to apply to a project.
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Accelerating Clinical Adoption of Machine Intelligence Applications in Medical Imaging
- Topics: AI/ML, cloud computing, cybersecurity, data harmonization, data repositories, data sharing, software development
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Advancing Interoperability for Environmental Health
- Topics: data harmonization, data sharing, informatics, interoperability, software development
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Architecting Search Across Petabyte-Scale Genomic Sequence
- Topics: AI/ML, cloud computing, data sharing, informatics, software development
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Artificial Intelligence, Machine Learning, and Deep Learning Approaches to Analyze Alzheimer's Disease Data
- Topics: AI/ML, data management, data harmonization, data sharing, project management
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Cloud-Native High-Performance Computing for Bioinformatics with Complex Data
- Topics: cloud computing, cybersecurity, HPC, human-centered design, software development
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Developing a Cloud-Based Platform for Heart, Lung, Blood, and Sleep Research
- Topics: AI/ML, cloud computing, cybersecurity, data harmonization, data sharing, interoperability, software testing
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Expanding Theories of Brain Circuits Using Knowledge Integration
- Topics: AI/ML, data harmonization, data sharing, knowledge graphs, model building
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Harnessing Data Science for Health Discovery and Innovation in Africa
- Topics: data management, data sharing, project management, software development
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Innovative Solutions for Data Harmonization, Mobile Analytics, and End-User Support
- Topics: AI/ML, chatbot, cloud computing, data harmonization, data sharing, NLP, software development
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Interoperability of NIH Cloud-Based Platforms for Genomics Research
- Topics: cloud computing, data harmonization, data sharing, interoperability, project management
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Supporting Cancer Knowledge Extraction Through the Cancer Research Data Commons
- Topics: AI/ML, API development, cloud computing, data harmonization, data management, data sharing, interoperability, knowledge graphs