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News
Where the wild bees are
No one knows yet how the pandemic will impact the careers of young researchers. In this three-part series, we profile Feodor Lynen Research Fellows and show how they are dealing with the challenges facing them.
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Event
Lindau Nobel Laureate Meeting
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Press Release
Despite the pandemic: Strong demand for research fellowships from the Humboldt Foundation
The United States remain Germany’s strongest international competitor.
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Press Release
Agenda for Embracing Diversity: Actively promoting diversity in science
As a global research funding and networking organisation, the Alexander von Humboldt Foundation is increasing its focus on diversity in all of its areas of activity.
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News
Annual meeting of the German Society of Humboldtians
Happy reunion: The German Humboldt alumni association met in Tübingen in late October to exchange ideas and share information.
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News
Applications invited for new chair at the AIMS Centre in Senegal
The German Research Chairs programme for funding mathematical research in Africa was launched ten years ago at the African Institute for Mathematical Sciences (AIMS) in Senegal. A call for applications for a second chair to be established there has now been announced.
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News
Support for science
The Alexander von Humboldt Foundation is a legally responsible foundation under private law and promotes excellent research worldwide. The Foundation chiefly finances its expenditure on the basis of grants from the Federal Government and the European Union. However, the Foundation’s funding is also secured by private endowments. Mr. Winfried Pohl's endowment of €500,000 will benefit the promotion of top international research. Here, Mr. Pohl, an expert in the field of thermal engineering, tells us what motivated him to support the Alexander von Humboldt Foundation.
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Press Release
“This is a signal for a new start. The political sector has heard the science community’s demands.”
Humboldt Foundation welcomes the new federal government’s coalition agreement.
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Stefanie Jegelka
The fundamental research conducted by computer scientist Stefanie Jegelka has led to a better understanding and optimisation of graph neural networks (GNNs) and made her name. In Munich, she is called upon to drive our theoretical understanding of machine learning and develop algorithms as well as trustworthy machine learning tools.
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