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Field
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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expanding its focus to space-based missions. We are contributing to the High Energy cosmic-Radiation Detection (HERD) experiment, a next-generation detector for the Chinese Space Station. In parallel, we
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the university hospital and the regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and
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). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative AI methods as
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protein allowable milk with the least amount of feed and animal inputs under feeding and management conditions in India. • Integrate the feed chemistry data being developed in a parallel project. • Travel
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learning frameworks (e.g. PyTorch, TensorFlow) and relevant libraries. Practical experience inscalable data processing, including the use of parallel computing, cloud platforms,and distributed systems
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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range of molecular systems, including: Transition-metal complexes (e.g., chiral ruthenium and iridium complexes) Local and nonlocal inner-shell decay processes in solvated ions and transition-metal
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(HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR principles. Dissemination through high-impact journal publications and conference presentations in solar
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testing experimental Forecast-Informed Reservoir Operation in the Hydrometeorology Research Group. In accordance with USCIS regulations, successful applicants must be legally able to accept work in the