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the potential of quantum computers for industry and societal use. The Fraunhofer Lab for Quantum Computing Stuttgart-Heilbronn (flaQship ) unites the expertise of the Fraunhofer Institute IAO and the Fraunhofer
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking and computational problem-solving in the Earth sciences at large
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in the laboratory Document and evaluate experimental and simulation results Develop and validate machine learning and deep learning algorithms for photonic sensing applications What you contribute
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methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a
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to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM HN Team
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Advertisement for the field of study such as: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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) simulations and offer time-saving benefits. We are looking for a dedicated and motivated student to assist us in implementing a novel Graph Neural Network based algorithm that can act as surrogate for FEM and
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" feature engineering) Style change detection algorithms Detection of AI-generated text content and attribution of which LLM generated which text Optimization of existing authorship analysis methods
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manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive sector. There are currently
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for a student assistant, who will be enhancing existing, prototypically implemented algorithms for 3D calculation. Additionally, an experimental validation system must be assembled and characterized. In