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-disciplinary research hub for AI-based adaptive teaching. The goal is to research and design evidence-based adaptive learning systems and translate them into school practice — systems that provide individualized
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24.04.2026, Academic staff The Chair of Medical Materials and Implants at the TUM School of Engineering and Design, Technical University of Munich, is seeking a Post-Doctoral Candidate (m/f/d
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considerations from a data analysis and instrument optimisation perspective. Teach users how to operate imaging devices Understand image formation processes to design methods for optimal information retrieval from
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of oxygen and Earth’s first global glaciation about 2.4 billion years ago. Key responsibilities: design, run, and analyse equilibrium and transient simulations with a coupled Earth-system model
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of oxygen and Earth’s first global glaciation about 2.4 billion years ago. Key responsibilities: design, run, and analyse equilibrium and transient simulations with a coupled Earth-system model
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. Antonio Scialdone’s group at Helmholtz Munich, a leading European hub for AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Bingen am Rhein, Rheinland Pfalz | Germany | about 17 hours ago
healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies
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models and transformer-based architectures to construct high-dimensional design spaces. These models are integrated with Deep Reinforcement Learning (DRL) for fine-tuning or end-to-end learning, enabling
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representations • Research on multimodal representation learning for fusing heterogeneous clinical data (imaging, pathology, genomics, clinical text) into unified vector representations • Design and evaluation