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Howard Hughes Medical Institute:...
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Screenshot Science teachers looking to enhance their curriculum with stimulating online content will be sure to find the Howard Hughes Medical Institute’s Educational Materials website quite useful. One of the main offerings here, HHMI’s Biointeractive, provides a wealth of resources including animations, videos, interactive resources, teacher’s guides, podcasts, and more. Topics include health, anatomy, genetics, biotechnology, and careers in science. As if that weren’t enough to entice instructors, the full text of the HHMI bulletin is also available on the main section of the site. Back issues date to 2007 and may be viewed online or downloaded in PDF format. Overall, this is an excellent website...
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Teach Online Safety
According to a report by the Pew Research Center published in late 2014, the frequency and severity of cyber attacks are increasing quickly - and they are...
Virtual Textbook of Organic...
William H. Reusch, emeritus professor at Michigan State University, published his Introduction to Organic Chemistry in 1977. Readers may purchase it for a list...
A Simple Plan: E.L. Trudeau, the...
The University at Buffalo's National Center for Case Study Teaching in Science is a well-known resource in the promotion, development, and dissemination of...
Garbology
This excellent, interactive site, which won a Webby Award and an award from the American Association of School Librarians, takes students on a journey - into...
NREL: Workforce Development &...
The National Renewable Energy Laboratory (NREL) has assembled an impressive array of educational resources for teachers working with elementary, middle, and...



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AMSER is funded by the National Science Foundation as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.
Autosampling measurement device containing closed vials.
Periodic Table.
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Data Mining: If you're looking for a broad mathematical area with many applications, consider data mining, which involves the discovery of patterns and previously unknown information in large data sets. Opportunities in this field are in security, forensics, and sciences.


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