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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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reference data, and explore how different stack and channel designs affect shunt current distribution. Ultimately, the results should contribute to optimizing cell and stack configurations for minimal energy
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of the school will be optimally trained and positioned in this emerging field. Partners of the school are DESY and Weizmann institute of Science, as well the Humboldt-University Berlin and University Potsdam
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for training and deploying AI models in Europe. Specifically, you will: Design, optimize, and operate inference and fine-tuning workflows for foundation models in EO Implement models on JAIF’s infrastructure and
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Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In this project, you will develop innovative quantum algorithms
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instrumentation, members of the school will be optimally trained and positioned in this emerging field. Partners of the school are DESY and Weizmann institute of Science, as well the Humboldt-University Berlin and
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the development of meta-optimization techniques that can automatically search for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital
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to analyze and optimize system behavior before physical implementation Development of algorithmus and control software for full automation of long-term and high-troughput operando experiments Implementation
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. Specifically, you will: Design, optimize, and operate inference and fine-tuning workflows for foundation models in EO Implement models on JAIF’s infrastructure and build reliable, reproducible data flows
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Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In