Welcome to the sixty fourth ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[New Coursera Course: Write Smarter with Overleaf and LaTeX] This course will introduce you to LaTeX, a document preparation system for creating highly customized formatted documents and Overleaf, a tool that makes writing with LaTeX much easier. LaTeX and Overleaf are particularly useful for scientific researchers who may want to write scientific manuscripts and be able to reformat the manuscript easily for different scientific journals.
[Event: Scientific Software Development Community Studio] We are launching as a series of events inspired by art studio classes, aimed at bringing together individuals interested in developing and sharing scientific software for feedback, collaboration, and learning. Starting February 14th and meeting bi-weekly, the initiative invites participants to publish, consolidate, document, and learn more about scientific software, enhancing their skills and contributing to the community. Click the link above to learn more and sign up!
[Opportunity: PyTorch & Transformer Models Project] We are seeking proposals for the development of a Python and PyTorch-based software package aimed at advancing transformer model architecture research for biomedical data scientists. This project calls for expertise in Python programming, package development, and machine learning, with deliverables including a flexible framework, detailed documentation, and robust testing infrastructure, to be completed within six months.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory