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extensive training on system- and network-level design and operation of next-generation high-capacity optical networks while embedded in a vibrant industrial environment. The research and development work
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(e.g., PyTorch) • Additional advantage: experience with high-performance computing environments LanguagesENGLISHLevelGood Additional Information Benefits • Learning skills in AI and other advanced
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development opportunities Working with the latest techniques / technical equipment, access to cutting-edge datasets and high-performance computing infrastructure Possibility of mobile working Flexible working
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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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laboratories and safety proving ground Outstanding research support services Hybrid work environment/telecommuting Flexible work hours Family friendly High staff retention rates Leadership development and
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electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. The ANL ATLAS group maintains strong involvement across the experiment, including detector operations, TDAQ upgrades, Software and Computing, ML development, and High-Performance Computing (HPC
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& Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic