220 systems-science-"https:"-"https:"-"https:"-"https:"-"C.N.R" positions at ETH Zurich
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artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental
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not by artificial intelligence. For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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Digital Twins for Human Learning. Project background In cognitive science, it is common practice to use cognitive models to understand human thought processes – including human learning. Large language
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100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
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Containerized and Kubernetes-based service deployment and operations Large-scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre-training, fine-tuning, inference) Storage and data systems (e.g
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scientific and engineering workloads are no longer just large; they are complex, data-intensive, and highly diverse, meaning they push existing infrastructure to its limits. This position is funded via
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for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such supply systems are required for applications such as supplying actuators and sensors in facility
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that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims