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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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types of schools and all grades are invited to work on different topics in an authentic lab setting while being supervised by university chemistry students. The synergy between schools and universities
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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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different nationalities. Jointly, we investigate questions pertaining to strategic decision-making in organizations and related performance implications. We are particularly interested in behavioral aspects
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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 foundation for the professional
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develop comprehensive new approaches, and educate the problem-solvers of tomorrow from a multidisciplinary perspective. The position: As Fundraising Assistant on the Fundraising & Philanthropy team you will
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to numerical simulation algorithms? Then apply now to join our team of theoretical researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere of play: As a
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of core areas of political science, develops innovative and problem-oriented research focuses and offers a broad diversity of options for its students to seek specialisation. Its staff is currently involved
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of Pharmaceutical Sciences, Division of Pharmaceutical Chemistry starting in August 2025. We are a young and enthusiastic team that focuses on developing new diagnostics and therapeutics for positron emission
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to contribute is about solving Singularly Perturbed PDEs with deep learning methods. Such equations arise in physical models where multiple processes—like convection and diffusion—interact across vastly different