Studying and elite sport: TU Graz becomes a KADA partner university

From summer term 2025, athletes will benefit from the KADA support programme as well as more flexible study arrangements to help combine studying and competitive sport.
From summer term 2025, athletes will benefit from the KADA support programme as well as more flexible study arrangements to help combine studying and competitive sport.
Anna Karner and Birgitta Schultze-Bernhardt are experimental physicists – one is a doctoral student, the other a professor. In this interview, they talk about hurdles, help and role models.
One topic, but a multiplicity of angles and perspectives.
Energy storage systems are becoming increasingly important, powerful and widespread. However, this also means that the demands on their safety and durability are growing.
Markus Markl is a theoretical physicist at TU Graz working on nuclear fusion – a clean form of energy that we want to copy from the sun.
At the Go International! Fair on 17th October, Exchange Coordinators and students with experience abroad give advice on mobility programmes: for students of TU Graz – also in the context of NAWI Graz.
Finding and fixing errors in programme code still takes up a lot of developers’ time. A team at TU Graz has now developed a solution that tackles the biggest time wasters.
In this article first-semester students will find insider tips on the admission procedure at TU Graz. Any open questions can be answered by older students in the context of the Student Union advisory…
Based on the core subjects of computer science, mathematics and statistics and taught in English, the NAWI Graz Master’s programme offers profound yet practical education in data analysis,…
Physicists at TU Graz have calculated how suitable molecules can be stimulated by infrared light pulses to form tiny magnetic fields. If this is also successful in experiments, the principle could be…
Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution.
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