Sort by
Refine Your Search
-
travel To enable scholarship holders to learn German in preparation for their stay in the country, DAAD offers the following services: Payment of course fees for an online language course after receipt
-
Science in Life, Earth and Energy (HDS-LEE), we train the next generation of data scientists to tackle key global issues in domain sciences such as life, earth or energy. Learn more at www.hds-lee.de
-
since graduating from university.) Number of Scholarships up to 50 scholarships per year Duration The maximum funding covers a period of 3 years. Scholarship Value base amount of 1,650 EUR per month fixed
-
) Green Mobility Top Up (Support for climate-friendly travel) or reimbursement of carbon offset payments for air travel To enable scholarship holders to learn German in preparation for their stay in
-
the Evangelisches Studienwerk in their undergraduate degree programme. Duration typically throughout the entire course of study Scholarship Value base amount of up to 855 EUR per month supplementary study cost
-
Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
list of countries), who want to promote democracy and social justice in their home countries. The programme, which is funded by the German Federal Foreign Office, offers the chance to acquire a Master’s
-
, coalescence models) based on experimental data Document, present, and publish results in reports, scientific contributions, and project meetings Your profile Completed university studies (Master/Diploma) in
-
wide range of theoretical perspectives, methodological approaches, and links to educational practice. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning
-
scholarship credit which is paid back in full or in part. This is based upon the guidelines of the Colfuturo sponsorship programme "Créditos-Beca para estudios de Posgrado en el Exterior". Selection
-
characteristics, and scheduling under uncertain and evolving conditions extend existing demand-based network optimization models by incorporating vehicle performance sensitivities and environmental influences apply