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of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence, especially in the areas of reinforcement learning and deep probabilistic models. To strengthen our team
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evolution in the bobtail squid lineages. Our research focuses primarily on comparative genomics and the study of genome topology and regulatory genomic evolution. The international team currently consists
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optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas
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science, including open data, open materials, and preregistration. Applicants are asked to describe how they have implemented these principles in their previous research and how they plan to promote them in
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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Learning ” within the research group “Data Mining and Machine Learning ” at the Faculty of Computer Science, led by Prof. Tschiatschek, develops methods of machine learning and artificial intelligence
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initio quantum chemistry to understand and predict structure and reactivity in the ground and electronic excited states. Further, we use and develop classical and quantum dynamical methods to explain
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a PhD student with research experience in organic chemistry or related disciplines (e.g., materials science). Your personal sphere of influence: To address the need for developing a palette of new non
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: With your scientific curriculum vitae / letter of intent With your summary of research interests / ideas for a prospective doctoral project proposal (max. X p.) With a plan for the completion
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interdisciplinary research projects of the department Work on an existing dissertation or development of a dissertation project in the field of Innovation and Public Law Participation in the administration