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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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the broader innovation network. Fellows benefit from a unique environment that combines academic excellence, industry collaboration, advanced digital infrastructure, and entrepreneurial opportunities. Beyond
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fields such as computer vision and natural language processing, graph-structured data remain a rich frontier for methodological innovation, with many fundamental challenges and exciting opportunities ahead
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have a strong sense of commitment and motivation and submit an innovative research proposal, which will be funded individually. Target Group students in Master's or PhD programmes from the following
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students from abroad who are studying, researching or doing an internship in Germany can apply. Applicants should have a high level of motivation, personal commitment and an innovative international project
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Application requirements Application Requirements University degree with at least a doctorate (PhD) or higher Outstanding scientific achievements Innovative and original research project 2 letters of reference
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collected, including mobile eye-tracking, video, discourse, physiological, and collaboration data, providing immediate opportunities for high-impact publications and methodological innovation. Support for
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degree course abroad as well as international students who plan to study, research or do an internship in Germany. Candidates show a strong sense of commitment and motivation and submit an innovative
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researchers to focus entirely on their projects, free from teaching obligations, while accessing a broad network of institutions and contributing to innovative, future-oriented research in the humanities
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to 24 months) of their own design in cooperation with an academic host they have chosen at a research institution in Germany. The research must deal with issues of major relevance to the future