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Field
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successful candidate will collaborate with scientists in DIS, Environmental Sciences division and Argonne leadership Computing Facility to further develop the AI foundation models, benchmarking and deploy them
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kernel design, communication–computation trade-offs, or performance modeling on heterogeneous systems. Theory of parallel algorithms — communication lower bounds or work–depth analysis of sparse and graph
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and master’s theses in the Service Systems Design master’s programme. You will also contribute to curriculum development and to training activities that strengthen students’ employability. Your work
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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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, depending on their expertise and interest. They will also support parallel developments led by PhD students, ensuring coherence in the beam dynamics models and helping to define tolerances for overall design
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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, MS acquisition methods and computational proteomics strategies. You will be expected to contribute to and support the ongoing research projects in the group on an ad hoc basis when needed. Your tasks
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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(UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff