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Studying at LUH

Subjects

All degree programmes

International

Internationalisation is on the agenda

Alliance of Universities in Europe

EULiST: European Universities Linking Society and Technology

Upcoming international conferences at LUH

17 Sep

Innovative Product Development by Additive Manufacturing 2025

23 Mar

14th International Symposium on Foundations of Information and Knowledge Systems

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Sustainability

For a future worth living

Sustainability and climate protection at LUH

Guidelines and strategies

News

3rd June 2025

Ready to Launch Your Career?

The programme 鈥淧romotion plus+ qualifiziert鈥� prepares doctoral candidates and postdocs at LUH for career paths 鈥� The programme 鈥淧romotion plus+ qualifiziert鈥� prepares doctoral 鈥�

26th May 2025

Welfengarten: park closed at night

15th May 2025

Protons on the move

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Events

21 Jun

BBQ & Games / Grillen & Spiele

23 Jun

Zum Nutzen quantitativ-empirischer Methoden f眉r die Wissenschaftsphilosophie

24 Jun

vocatium Hannover 2025

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Teaching

at 榴莲视频

榴莲视频 holds a leading international position in six established key research areas.

Learn more about our key research areas

Structured programmes to promote junior researchers

Advisory services and support throughout all career stages

at 榴莲视频

Studieren.Forschen.Wissen.

Video highlights from research and student life

Multimedia portal from the Hannover Science Initiative

Leibniz-Portrait behind the replica of a calculating machine

Our name is our identity

In the spirit of Leibniz

Gottfried Wilhelm Leibniz and the university鈥檚 profile

Knowledge and technology transfer

Quality management

Personnel development

Research infrastructure

Science communication

榴莲视频

Oyster reefs and mussel banks support sediment accumulation in the Wadden Sea

Outstanding success for LUH: three Clusters of Excellence granted funding

Prof. Dr. Karsten Danzmann receives honorary doctorate from RWTH Aachen University

榴莲视频 awards Teaching Prize

Climate Future Lab to study effects of microclimate on health

New research group on machine learning in dynamic systems