Sort by
Refine Your Search
-
available in the further tabs (e.g. “Application requirements”). Programme Description How can digitalisation contribute to a more sustainable future at a time when global climate change is challenging our
-
Master's degree programme at a state or state-recognised German university Duration of the funding 1 to 2 years Value Monthly scholarship payment of 992 euros Medical, accident and personal liability
-
, computer science, natural sciences and engineering. Who can apply? The scholarship programme is aimed at high-achieving students from developing and emerging countries who would like to complete a Master’s degree in
-
or Leipzig University. AI is viewed as an interdisciplinary undertaking that requires talents in computer science, engineering, mathematics, social science, law, the natural sciences, and application areas
-
## The application procedure occurs online through the DAAD portal. Applications for this scholarship programme are possible in the period June until the stated application deadline. Please note that the access
-
of the following Master’s degree programmes at RWTH International Academy: MSc Computer Aided Conception and Production in Mechanical Engineering, MSc Management and Engineering in Computer Aided Mechanical
-
Germany as part of their Master degree programme (e.g. double degree programmes) or who take part in an exchange programme at a German partner university for a year are also not eligible for funding
-
available in the further tabs (e.g. “Application requirements”). Programme Description Research work (Master's theses, doctoral theses, Postdocs) in the field of natural sciences is eligible for funding
-
available in the further tabs (e.g. “Application requirements”). Programme Description The ESV scholarships are open to protestant students from all disciplines and subjects wishing to study full-time at a
-
available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with