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) doctoral studies at a German university Duration of the funding a) approx. 2 years depending on the duration of the Master's programme b) approx. 3-4 years for doctoral studies Grants for doctoral candidates
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Hint The Sofja Kovalevskaja Award was awarded to a total of 139 outstanding young researchers from 2001 to 2020. Since then, the programme has been closed to new entries. Funding for the last award
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available in the further tabs (e.g. “Application requirements”). Programme Description The Pre-Doc Award offers postdocs and those interested in a doctorate with a very good degree the opportunity to jointly
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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
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basis. Who can apply? The programme is aimed at qualified students, graduates and doctoral candidates from North America who are carrying out research projects on German cultural studies. What is
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the participation of representatives of the DAAD and UTN. Central selection criteria are: Above average academic performance Personal suitability for the programme and its objectives Good knowledge
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study The programme usually starts in October; in exceptional cases, doctoral
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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
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available in the further tabs (e.g. “Application requirements”). Programme Description The International Scholarship Programme (ISP) of the Avicenna Studienwerk, in cooperation with the Islamkolleg
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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