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efficient inference. Experience with GPU computing and high-performance or distributed computing environments. Exposure to planning, scheduling, workflow engines, or reasoning systems, and to scientific
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to distributed execution, checkpointing, filesystem performance, networking, and GPU utilisation Help maintain reproducible training recipes, configuration files, launch scripts, and documentation Work with
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images against reference pre-training and post-training workloads together with Apertus engineers, and maintain working launch examples Compute partnership and efficiency Serve as the primary technical
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-spherical particles (known as colloidal quantum dots). However, even state-of-the-art nanocrystal samples contain distributions in particle size and morphology that limit their optical performance. Two
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(known as colloidal quantum dots). However, even state-of-the-art nanocrystal samples contain distributions in particle size and morphology that limit their optical performance. Two classes
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expand both actuation and sensing capacities with light. The project will create an artificial sensorimotor network with densely distributed actuators and sensors similar to the biological neuromasculature
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of electrochemical performance, with a focus on ion distribution, transport, and degradation processes during battery operation. The project addresses key questions such as the formation of Li/Na
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emphasis on X-ray Absorption Spectroscopy (XAS), X-ray total scattering with pair distribution function analysis, and vibrational spectroscopy These techniques will be used to probe local coordination
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focus of this position will likely be on technical support in the distribution, maintenance and development of climate scenario products as well as on extremes and their governing processes. The position
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18 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Programming Engineering » Civil engineering Engineering » Industrial engineering Environmental science