309 software-verification-computer-science-"TCAT-Jacksboro" positions at DAAD in Germany
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to enable graduates and doctoral candidates from Mexico to obtain further qualifications in Germany
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Objective Graduates receive a...
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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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 Latin America with the capacity
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competitive doctoral programme provides cutting-edge methods and advanced theories in the hub science Psychology of Transformation as well as the following 5 interdisciplinary Key Subject Areas: Climate Futures
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available in the further tabs (e.g. “Application requirements”). Programme Description Erasmus+ mobility of individuals sponsors study periods and traineeships (work placements) in 33 specified Erasmus
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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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available in the further tabs (e.g. “Application requirements”). Programme Description The fellowship programme addresses highly qualified graduates from all fields of study from selected countries and
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme allows scientists to carry out research with German colleagues at universities, universities of applied
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image