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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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. Recent progress in text-to-image generation, fueled by diffusion models and large-scale training, has greatly improved image synthesis aligned with textual prompts. This project, however, focuses on a
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) Advanced Degree (Masters or Doctorate) in STEM (Science, Technology, Engineering, Math) discipline or related to computer networking. 7+ years’ experience in a large-scale service provider or multi
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 1 month ago
, in partnership with EvidenceB, Café pédagogique, and ClassCode, is launching GAIMHE (Generative AI for Hybrid Mathematics Education), a large-scale research and innovation project funded by Bpifrance
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chart the future directions for resource management for OSCs large-scale cluster systems. These systems include the Slurm resource manager for the HPC clusters and Kubernetes clusters for container
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manage large-scale materials datasets. • Develop GNN architectures for predicting materials properties from atomic graphs. • Train and deploy machine-learned force fields for MD simulations and rapid
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Research Assistant (Part-Time) - (26000062) Description Temple University's School of Dentistry is searching for a Part-Time Research Assistant: Big Data Analytics! As the second-oldest dental
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(pay scale table on page 66 of the PDF download): https://go.fzj.de/bmi.tvoed FIXED-TERM: The position is limited to 3 years SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service makes
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innovations for large-scale storage of green hydrogen. Where to apply Website https://www.academictransfer.com/en/jobs/357568/postdoc-in-thermodynamics-of-hy… Requirements Additional Information Benefits A
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computational science expertise. The ALCF Performance Engineering Group invites applications for a postdoctoral appointee to develop and scale profiling capabilities for large, heterogeneous HPC workflows