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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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Murdoch University Mid-Year Domestic Scholarship Round - Research Training Program Stipends (Domestic Students Only) The Graduate Research Office is pleased to announce a 2025 mid-year scholarship
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available in the further tabs (e.g. “Application requirements”). Objective The programme supports students from the Republic of Tunisia. Who can apply? The programme is aimed at applicants with a secondary
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? 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
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Helmut-Schmidt-Programme (Master’s Scholarships for Public Policy and Good Governance - PPGG) • DAAD
available in the further tabs (e.g. “Application requirements”). Objective The DAAD Helmut-Schmidt-Programme (known as Public Policy and Good Governance) supports future leaders from developing countries (see
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Project Part B in Trimester 1, 2026 Master of Computer Science - semester 2, 2025 enrolment in: COMP SCI 7100A - Research Project Master Computer Science Part A Masters of Mathematical Sciences - semester 2
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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
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years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
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. The Prize recognises and honours Stephen Bradshaw (Ngāti Maru), alumnus of the Dance Studies programme, and Rangatira of Māori/Contemporary Dance and Toi Māori Arts in Aotearoa. The main purpose
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available in the further tabs (e.g. “Application requirements”). Programme Description SECAI scholarships were created to support outstanding students who intend to study AI or a related field at TU Dresden