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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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frameworks, RAG pipelines, PyTorch, HuggingFace) and with model optimization and efficient inference. Experience with GPU computing and high-performance or distributed computing environments. Exposure
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, two-year postdoc positions in this next round. The goal is to advance computational methods and AI/XR for Architecture, Engineering & Construction (AEC) and urban/landscape planning - bridging research
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state transfer, distributed quantum computing and quantum error correction, blind quantum computing, and non-local sensing. To ensure this project's success and fast progress, we are looking for
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released models Make evaluations run quickly and at scale: parallel execution on Alps, efficient use of inference backends, caching, and result tracking Reduce mismatch between evaluations during
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coordinating an EU consortium is a plus. You are organized and reliable with budgets, deadlines, and reporting, and you keep several projects moving in parallel. You communicate clearly in English, in
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/aarch64 platforms Familiarity with HPC networking and communication stacks: Slingshot, libfabric, NCCL and its debugging Experience with parallel filesystems (e.g. Lustre) and storage performance tuning
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-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user laboratory is available to domestic and international researchers in academia, industry, and the
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on lifelike digital humans powered by large language models, affective computing, speech technologies, and real-time rendering. Our systems have been deployed at high-profile international events
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addressing technological challenges and developing novel techniques for quantum control. The TIQI group is closely connected to the ETHZ-PSI Quantum Computing Hub and the advertised position will involve