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Announcements & News
Adobe Creative Cloud Software and Classes at the NIH Library
The NIH Library now provides remote access to the Adobe Creative Cloud suite of software, and classes to learn how to use them.
New Class: Animal Model and Model Organism Information Resources
Join us for a new class being offered by the NIH Library, Animal Model and Model Organism Information Resources. The class will be presented online via WebEx. Register through the links below:
Take Advantage of NIH Library Writing Classes, Services, and Resources This Spring
Classes, services, and resources to guide you through your entire writing, editing, and publishing process.
New Class: Introduction to Artificial Intelligence and Machine Learning
We are excited to offer an introductory class designed for those looking to gain a basic understanding of Artificial Intelligence and Machine Learning.
Online Training Classes from the NIH Library: May 2020
The NIH Library Training Program is a premier provider of information and data management training for the NIH intramural research community.
3D Printing Medical Supplies: A Web Guide from the NIH Library
During the COVID-19 pandemic, “makers” have come together to design, 3D print, and distribute medical supplies.
Introduction to Adobe Premiere Pro Class, September 23 at 1 p.m.
Registration is now open for the Introduction to Adobe Premiere Pro class being offered by the NIH Library. Adobe Premiere Pro is the leading video editing software for film, TV, and web.
Introduction to 3D Modeling with Blender
Blender is a powerful, open source program that allows a wide range of creative work. This free class will focus on how to use Blender to create 3D models that can be printed on one of the NIH Library’s 3D printers.
NIH Library Open House 2015
In conjunction with the NIH Research Festival, the Library’s open house will showcase why we truly are “Your Partner in Research.” New this year will be a demonstration of the data visualization touch screen provided by the NIH Office of the Associate Director for Data Science.