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post-training mechanisms, specifically "Behavioral Priming" and "Insight Exhibition Rewards," to align models with interpretable reasoning criteria. Develop and implement software prototypes, algorithms
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, aimed at developing next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate
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, with a focus on developing rigorous mathematical foundations for AI interpretability. Research directions include mean field theories of deep learning, data attribution methods, renormalization group
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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The Competence Center of Cultural Heritage Digitization at Fraunhofer IGD develops and automates 3D scanning technologies to allow for automatic 3D reconstruction of cultural heritage and industrial
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collaboratively as a team. The appointee will be involved in research projects related to the development of novel algorithms and AI tools for detection of eye diseases. A highly competitive salary commensurate
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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interpreted by regression and tree-based machine learning algorithms to obtain even better mutants and develop mechanistic hypotheses. Various collaborations with ON-TRACT network partners across Europe allow a
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algorithms to cluster and classify flexibility profiles of electric vehicles.2. Development of Flexibility Forecasting ToolsCreation of forecasting models to anticipate the availability and activation