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80%-100%, Zurich, fixed-term The chair of Artificial Intelligence in Mechanics and Manufacturing at ETH Zurich, led by Prof. Dr. Dirk Mohr, combines physically motivated models with advanced ML
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candidate, your research will focus on developing and applying advanced computational methods for Bayesian inference and model calibration. Your main tasks will include: Investigating and developing novel
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its efforts to put new knowledge and innovations directly into practice. ETH Zurich | Space with its academic director Prof. Thomas Zurbuchen boosts space activities to establish ETH Zurich as the
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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100%, Zurich, fixed-term Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in the Laboratory
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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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computational methods for Reliability-Based Design Optimization (RBDO). Your main tasks will include: Investigating and developing novel methodologies to improve the efficiency and applicability of RBDO
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science, engineering, computer science, and medicine to find bold, creative solutions to real-world problems. Prof. Menon’s lab is located in the Balgrist Campus , designed to foster collaboration. Built in
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multidisciplinary research program and collaboration network in the area of Culturomics. Promising candidates possess an interdisciplinary profile that combines outstanding microbiological expertise with excellent
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Prof. Livia Schubiger. The candidate will work with the IRDS group on projects that leverage NLP, causal inference, and machine learning to explore norms related to gender-based and other forms