Sort by
Refine Your Search
-
Production Engineering, MSc Textile Engineering, MSc Resilient Civil Engineering, MSc Battery Systems Engineering. Duration up to 24 months Scholarship Value The scholarship covers 25% of the tuition fees
-
academic qualification, social commitment and personal development through financial and non-material support. Target Group enrolment for a Master's degree or doctorate at a German higher education
-
available in the further tabs (e.g. “Application requirements”). Programme Description Artificial intelligence precisely sorts valuable raw materials, collection robots remove waste from the environment
-
studies in subject areas with strong relevance to national development. The scholarships at SEARCA are available in the following fields: UPLB: Master - Food Science (Nutritional, Domestic and Food
-
Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
Governance, highly qualified graduates with a first academic degree are being educated in political science, law, economics and administration and prepared for future leading positions in the Global South.
-
in the following fields: MTech in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in
-
subject areas with strong relevance to national development. The scholarships at SEARCA are available in the following fields: UPLB: Environmental Science (ENS) KU: Sustainable Land Use and Natural
-
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
-
Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The research and...
-
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