We will work in RStudio, an integrated development environment (IDE) built specifically for R. A copy of all the scripts used in class to import and tidy data, create visualizations, [….]
This workshop will be held live on June 1, 8, 15, 2021 (5:30PM-8:00PM) Overview In this workshop, learners will learn the basics of how to use R to wrangle data, [….]
The NIH Career Symposium highlights the diversity of career choices available to your generation of biomedical researchers.
This workshop will be held live on April 6, 13, 20, 2021 (5:30PM-8:00PM) OVERVIEW This workshop will explore both the design side and the coding side of creating visualizations in [….]
The National Institutes of Health provides significant funding for drug development research to universities, companies, and organizations. Over the course of 2020, the NIH provided a significant amount of funding to the BioHealth Capital Region.
As one of the world’s top bio hubs, the BioHealth Capital Region (BHCR) is rife with life science assets. The region has been at the forefront of the SARS-CoV-2 vaccine race and it is rapidly becoming a center for advanced manufacturing. The BHCR cell and gene therapy ecosystem is thriving, and the area boasts one of the richest and most diverse tapestries of life science talent and workforce development programming. What’s more, Maryland, Washington, DC, and Virginia are home to several dynamic university systems that keep the talent and tech transfer pipeline humming and full.
A new 12,000-square-foot Advanced Particle Manufacturing Plant in Prince William County’s Innovation Park will allow Ceres Nanosciences to boost production of its Nanotrap particles technology.
Danielle Kalkofen is a molecular cell biologist and biochemist with 15 years of industry and academic experience. In 2015, she turned her focus to biological assay development, leading cross-functional teams to develop, validate, and commercialize new pathogen detection assay products.
This workshop will first cover the theory and proper applications of various neural networks (multilayer perceptrons, convolutional neural networks, long-short term memory models, autoencoders, etc. TARGET AUDIENCE Anyone who does [….]
BACKGROUND Predicting the effect of a mutation on the structure and function of a protein is not just for researchers with super-computer facilities. Thanks to public cloud computing options, anyone [….]