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processes. Apply and further develop qualitative research methods (e.g., interviews, case studies, archival research) in the design, execution, and dissemination of international business research. Actively
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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digitalization. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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addition to providing a solid academic education, we also place a special emphasis on the personal development of students. We support students in developing curiosity and critical thinking, thereby creating a solid
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expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an interdisciplinary innovation environment for research, development, start-ups, and industrial projects. AI:AT
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to work independently as well as in an interdisciplinary team Proficiency in English is mandatory. Candidates should be prepared to develop sufficient German language skills to actively participate in
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independently as well as in an interdisciplinary team Proficiency in English is mandatory. Candidates should be prepared to develop sufficient German language skills to actively participate in the academic
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should be centred on fertility and reproduction, with a clearly demographic approach. They should present a clear and realistic work plan for this short-term role. The Department of Demography
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research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
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biology in an inspiring scientific environment and a pleasant working atmosphere. A main aim of our work is the development of innovative approaches to elucidate the role of transition metals in cancer