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NATIVE AMERICAN (H)

NATIVE AMERICAN (H)

AAHSL and NLM Announce 2019 Leadership Fellows and Mentors

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The Association of Academic Health Sciences Libraries and the National Library of Medicine (https://www.nlm.nih.gov) are pleased to announce the members of the 2018-2019 class of the NLM/AAHSL Leadership Fellows Program. The jointly sponsored program matches fellows and mentors in a one year leadership development program. Since the program began in 2002, 54 percent of fellow graduates have assumed director positions. 



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NATIVE AMERICAN (H)

NLM Announces Future Plans of 2017-2018 Associate Fellows

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The National Library of Medicine (NLM) is pleased to announce the future plans of its 2017-2018 class of Associate Fellows. The Associate Fellowship Program is a one-year postgraduate training program with an optional second year. This competitive program provides associates with a broad foundation in health sciences information services and prepares librarians for future leadership roles in health sciences libraries and health services research. This group of Associate Fellows recently ended the first year of their fellowship. All three will continue for a second year of the Associate Fellowship Program in libraries in Chicago and Philadelphia.



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NATIVE AMERICAN (H)

Supervisory Bioinformatics Specialist, GS-0601-15 – Posted: 9/4/2018

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The National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), National Institutes of Health (NIH) performs research on computational biology and creates and maintains information systems and computational tools for the biological research community. The Information Engineering Branch (IEB) of NCBI aims to make biomedical data accessible and useful to scientific researchers, those in the public health field, and the general public through efficient and effective modern information technology (IT) practices and innovative design strategies. IEB production web sites are accessed, on average, by more than four million users who view 21 million web pages and download 100 terabytes (TB) of data daily.



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