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, including who uses them, under what conditions, and with what consequences. Working hands-on with large language models: evaluating their behavior, improving their reliability for concrete use cases, and
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intimidated by developing large systems, enjoys working with people and will rise to meet unforeseen challenges. Understanding of network security and computer networks. Advanced degree in computer science
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journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen
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. Successful candidates will further develop the technology, investigate its therapeutic potential for neurological disorders, perform preclinical validation in rodent and large-animal models, and contribute
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researchers and CSCS engineers to improve the reliability and performance of large-scale experiments LLM post-training and reinforcement learning Support SFT, preference optimisation, and reinforcement learning
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Strong experience in quantitative research, computational modelling, data analysis, or a combination thereof Demonstrated ability to work independently to formulate research questions, develop hypotheses
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operationalizing these big data volumes is a challenge due to heterogeneous data structures and heavy computational demands. Job description This doctorate aims to advance the state-of-the-art in sensor and remote
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, 2025 ), and established functional volumetric bioprinting with xolography (Advanced Materials, 2026 ). Co-optimized volumetric muscle designs for large dynamic deformations are in press at Nature
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biohybrid robots (Advanced Intelligent Systems, 2025 ), and established functional volumetric bioprinting with xolography (Advanced Materials, 2026 ). Co-optimized volumetric muscle designs for large dynamic
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composition, structure, and functional properties using X-ray diffraction, Raman spectroscopy, scanning-probe microscopy, magnetometry, and electrical measurements, as well as experiments at large-scale