176 cloud-computing-"https:" "https:" "https:" "https:" "https:" scholarships at DAAD
Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
available in the further tabs (e.g. “Application requirements”). Programme Description The RLF is a political educational organisation closely affiliated with DIE LINKE (The Left Party) which awards
-
Gilman International Scholarship Program“ DAAD provides up to 40 additional „Gilman-DAAD Scholarships“ per year for U.S. undergraduate students to study and/or intern in Germany. Only US Pell Grant
-
available in the further tabs (e.g. “Application requirements”). Programme Description The German Bundestag invites politically engaged graduates from the Arab region to take part in a scholarship programme
-
available in the further tabs (e.g. “Application requirements”). Programme Description The DBU scholarship programme for PhD students aims to support young academics in the field of applied environmental
-
Information Centre Johannesburg: www.daad.org.za/nrf For any further assistance and information around the DAAD/NRF In-Country Scholarship programme please contact your institutions financial aid / bursary
-
available in the further tabs (e.g. “Application requirements”). Programme Description The KAAD is the scholarship institution of the Catholic Church in Germany. Applicants are therefore of catholic
-
? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Grant Programme of the Berlin House of Representatives awards funding to young researchers in any subject area from
-
available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to support young scientists and academics in Aceh in the aftermath of the 2004 tsunami and help promote
-
4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and