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The National Institutes of Health (NIH) offers the following online training opportunities focusing on postdoc career and professional development topics.

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Come learn how to use Dimensions - an innovative grants and funder database - to identify opportunities using a description of a current proposal idea. To access Dimensions, you will need to have your VPN activated and CU Boulder identikey credentials. Learn more here.

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Learn how to plan meals to reduce stress on your body for more energy, better mood, less sugar cravings and the increased ability to handle daily ups and downs.

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This webinar from the National Postdoc Association will discuss issues that postdocs face in terms of visa transition and how to build a CV/resume for purposes of a self-sponsored application in order to continue your career development and/or transition to an employment position.

When

Please join the 500 Women Scientists Boulder Pod for a Women in STEM career panel. Hear from five inspiring women (including women from CU and NCAR!) on their experiences pursuing careers in STEM and the diverse paths they took to get where they are today. Undergraduate and graduate students, postdocs, and early career researchers are welcome. Please RSVP here.

 

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Prof. Mary Ann Allen (BioFrontiers Institute) NOTE: this is not focused on matters related to IRB.

Light lunch provided

Open to all graduate students, postdocs, and faculty

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With Prof. Sarah Sokhey (Political Science)

Light lunch provided

Open to all graduate students, postdocs, and faculty

When

With Montez Butts, Director of Inclusive Culture and Outreach, Office of Diversity, Equity, and Community Engagement (ODECE); Anthony C. Siracusa, Senior Director of ODECE

Light lunch provided

Open to all graduate students, postdocs, and faculty

 

When

Light lunch provided

Open to all graduate students, postdocs, and faculty

When

Christina Kumler-Bonfanti and Ryan Lagerquist from CIRES will be speaking at two in-person seminars on Deep Learning hosted by CIRES CGA. These seminars are meant to be tutorial (lecture-based) style and are meant for all skill levels. Christina and Ryan have many years of experience with machine-learning applications to atmospheric sciences. We will also provide snacks and drinks.