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Events in March 2024
Five Questions for Natascha von Hirschhausen
The DWIH New York had the pleasure of interviewing Natascha von Hirschhausen and thereby coming back to the 2022 DWIH Focus Topic “Sustainable Innovations”. Natascha is a Berlin-based zero-waste fashion designer and founder.
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News from Universität Hamburg
Universität Hamburg Applying for Fifth Cluster
In February 2024, the German Research Foundation (DFG) and the German Council of Science and Humanities announced which research initiatives can apply for new excellence funding. In addition to the existing 4 clusters, Universität Hamburg’s application now includes “Gateways to Health (Gateways)”.
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News from the University of Freiburg
3D-Printed Pneumatic Modules Replace Electric Controls in Soft Robots
Research team at the University of Freiburg develops 3D-printed pneumatic logic modules that control the movements of soft robots using only air pressure.
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News from Cornell University
Cornell University Working with Global Companies on Corporate Innovation
The new Cornell Tech Venture Fellows Program allows employees to immerse themselves with a cohort of academically minded entrepreneurs and intrapreneurs from diverse global businesses at Cornell University’s state-of-the-art tech campus in the heart of New York City. Application deadline: May 5th.
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News from our Partners and Network
Job Openings February 2024
A service for everyone looking for a new job in the US with ties to Germany and/or the German language.
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News from UA Ruhr
New Horizon Europe Project: Preparing Europe for the future
From January 1, 2024, InvigoratEU* – a new Horizon Europe project coordinated by the EU-Chair at the University of Duisburg-Essen together with the Institute for European Politics in Berlin – will examine how the EU can structure its future relations with its eastern neighbors and the countries of the Western Balkans.
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News from the University of Cologne
University of Cologne Researchers Find That Clinical Predictive Models Created by AI Are Accurate but Study-Specific
Scientists from Yale and the University of Cologne were able to show that statistical models created by artificial intelligence (AI) predict very accurately whether a medication responds in people with schizophrenia. However, the models are highly context-dependent and cannot be generalized. Study published in Science.
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