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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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innovative qualification program, tailored to the scientific and methodological spectrum of the research projects, supports RTG trainees in their individual academic career development. The University Medical
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of requirements and scientific literature research Evaluation of the developed methods Preparation of scientific publications Recruitment requirements: Scientific university degree (Master) in computer science or a
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available in the further tabs (e.g. “Application requirements”). Programme Description How can digitalisation contribute to a more sustainable future at a time when global climate change is challenging our
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regional networking of partner institutions and partner universities To achieve these long-term impacts, the following outcomes have been formulated as programme objectives: Programme objective 1: Graduates
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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promoted. The ERA Fellowships – Green Hydrogen programme, funded by the Federal Ministry of Education and Research (BMBF), is complemented by comprehensive networking measures and the establishment of four
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available in the further tabs (e.g. “Application requirements”). Objective the programme aims to foster strong, internationally oriented higher education systems in Latin America with the capacity
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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
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available in the further tabs (e.g. “Application requirements”). Objective the programme aims to foster strong, internationally oriented higher education systems in Latin America with the capacity