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position (technician) will focus on performing Raman/FTIR on retrieved samples. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data.
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. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
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to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro
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PhD position in Cellular Therapies against Brain Tumors 100%, Start in February 2026 A position is available in the Brain Tumor Immunotherapy and Biology Lab at the Department of Biomedicine (DBM
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6 Nov 2025 Job Information Organisation/Company ETH Zürich Research Field Biological sciences » Biology Computer science » Programming Computer science » Other Mathematics » Applied mathematics
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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biology to create next-generation disease models. In collaboration with ETH Zürich (Prof. C. Halin) and the University of Bern (Prof. C. Bourquin), this project aims to advance understanding of the human
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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matter physics, and quantum computing. You will dive deep into the realms of theoretical and computational physics with a focus on the development of algorithms and large-scale numerical simulations. Your