21 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Univ"-"Institut-Agro-Rennes-Angers" Postgraduate positions in Germany
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The Saarbrücken Graduate School of Computer Science provides an optimal environment for pursuing doctoral studies in computer science at an internationally competitive level. As a student, you
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courses during your graduate studies. How long does a doctoral program usually take? Graduate studies in the CS@max planck program usually last for 4-5 years. Can students travel to conferences/summer
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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
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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
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. Do I need to know German? No, knowledge of German is not required, but you have the option of taking free German language courses during your graduate studies. How long does a doctoral program usually
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available in the further tabs (e.g. “Application requirements”). Programme Description Since 1997, the Heinrich Böll Foundation supports graduates from Latin America through its Sur-Place Programme in Mexico
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available in the further tabs (e.g. “Application requirements”). Programme Description The yDiv Graduate School is looking for highly-motivated, international candidates from the Global South to apply
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available in the further tabs (e.g. “Application requirements”). Programme Description The one-year scholarships are intended for graduates from Bulgaria, Croatia, Czechia, Hungary, Poland, Romania, Serbia
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available in the further tabs (e.g. “Application requirements”). Objective The aim of this programme is to enable former scholarship holders of the “Development-Related Postgraduate Courses (EPOS)” to carry
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language