Events

(c) DAAD/Strangmann

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The registration is free of charge and includes the entry to all show rooms and the Webcast presentations by the German exhibitors.

The 20^th GAIN Conference is going virtual! The annual conference and talent fair of the German Academic International Network is the largest gathering of German universities, funding agencies and scientists abroad. We invite you to become part of a network of over 500 postdocs, scientists and experts from various research areas and gain access to information about career paths and funding opportunities in Germany. More than 100 German universities, research institutions, companies, and funding agencies can offer jobs and support as well as provide valuable insights and best practices at our talent fair.

Event details:

ANNUAL GAIN CONFERENCE & TALENT FAIR

Date:               August 28 – 29 August 2020

Time:               For participants from the USA:
                        9am – 1pm Eastern Daylight Time (EDT)

                        For participants from Europe:
                        3pm – 7pm Central European Summer Time (CEST)

Location:         Online

Conference programme:

Research in Germany presentation & discussion:

"Opportunities for Postdocs, Young Investigators, and Junior Faculty Members in Germany"

Date:                  Saturday, 29 August 2020
Time: (USA):      10:45am - 11:45am Eastern Daylight Time (EDT)
Time (Europe):   4:45pm - 5:45pm
Location:            Auditorium, Webcast session

Presenters:

• Benedikt Brisch, Director, DAAD Office North America
• Dr. Georg Bechtold, Program Director International Affairs, DFG
• Dr. Cathleen S. Fisher, President, American Friends of the Alexander von Humboldt Foundation
  For more information please click here

>>>Click here to read the full conference programme!

Registration:

The event is free of charge and all disciplines are welcome!

 >>> Click here to register!

 

Exhibitors

A list of the participating institutions is  available on the website of the German Academic International Network (GAIN): https://www.gain-network.org/en/
 

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