| Id: | 368 |
|---|---|
| Description: | The OCIO Data Science Lab was formed in response to the dramatic increase in all forms of digital data across the Smithsonian. We seek to build collaborations both across Smithsonian units, as well as universities and other institutions. Members of our group work on a variety of data-intensive research topics including biodiversity genomics and machine learning applications of digitized museum collections and archives. See a list of our recent publications here: https://datascience.si.edu/data-science-lab-publications. Fellows may design their own project or choose to build off of our current projects and collaborations. They will have the opportunity to become a certified Carpentries instructor and teach data science skills as part of our training program for Smithsonian staff, fellows, and interns (https://datascience.si.edu/carpentries) if desired. |
| Keywords: | Machine Learning Biodiversity Genomics |
| Duration: | 1 day(s) |
| Location: | United States of America |
| Target Audience: |
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| Organiser: | |
| Contact Info: | Rebecca Dikow: email: dikowr@si.edu |
| URL: | https://fellowships.si.edu/opportunity/ocio-machine-learning-postdoctoral-fellowship |