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-based HPC clusters, high-speed networks, and storage systems. Lead medium to large technical projects, coordinating requirements, schedules, and deliverables across internal and external stakeholders
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: Bachelor’s degree in physical sciences or engineering Strong records knowledge, computer skills and experience working with various commercial software applications. Motivated self-starter with the ability
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, reliable operation of the SNS accelerator through the supervision of area physicists and applications team lead, as well as the development of high-level software tools, beam tuning procedures, frequent
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device architectures. Partner with existing quantum computing and networking efforts at the Laboratory to enable heterogeneous quantum hardware. Present and report research results and publish scientific
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on circular economy research Experience in working in the genetic algorithm and artificial neural networks is preferred. Experience in manufacturing process modeling of advanced manufacturing technologies
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systems (e.g., Mecurial, Git, SVN). Experience with Microsoft Office Word, Excel, PowerPoint, SharePoint. Familiar with NI LabVIEW graphical programming language. Familiar with network security measures
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of manufacturing experience in an R&D and/or a production environment. Excellent written and oral communication skills. Proficiency with standard and advanced equipment, computer systems and software programs
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descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other
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elements methods Modern machine learning software tools and frameworks Implementation of scalable numerical algorithms on HPC architectures Excellent written and verbal communication and interpersonal skills
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from plant genomics to phenomics with biological mechanisms embedded in deep neutral networks. GPTgp will allow task-specific training and transfer learning across reactions, pathways, biodesigns, and