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Prof Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This research project focuses on the development of methods for intelligent wildfire detection and localisation
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, uncertainty quantification, transport, financial markets, etc. Here, it is important that research in algorithm development has strong connections to needs in an application state space. Area 2: Methods
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(100%, TV-L) is available starting immediately. 16.04.2025, Wissenschaftliches Personal The position in the group of Prof. Dr. Barbara Wohlmuth is a project-independent research position without
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scraping, and other proprietary techniques. Develop, test, and evaluate algorithms and software, including Large Language Models, to analyze social media data, with a focus on the volume, content
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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motors and braking technology, high-torque density axial flux electrical motors, development of servo controllers and algorithms, and special electrical machines such as superconducting electrical motors
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the