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. Of particular importance is the improved understanding of multi-length scale phenomena responsible for the energy conversion, development and implementation of state-of-the-art lead-free perovskite materials
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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oriented, regionally anchored top university, developing innovative solutions for the world's most pressing issues. In research and education, the university unites the natural and engineering sciences with
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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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development project at a higher education institution in Mecklenburg-West Pomerania Academic Requirements higher education degree for the CDF scholarships and admission to a doctoral programme for the PhD
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oriented, regionally anchored top university, developing innovative solutions for the world's most pressing issues. In research and education, the university unites the natural and engineering sciences with
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international collaborators’ labs. The applicant should: • have interest in developing and/or applying novel chemical probes to investigate biological functions, • have sound knowledge of organic chemistry, both
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oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. lt develops innovative solutions for the world's most pressing issues. In research and academic
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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available in the further tabs (e.g. “Application requirements”). Programme Description The merit-based programme gives international students and doctoral candidates the opportunity to study at Universität