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optimization, and reliability of gas centrifuges used in the processing of uranium and stable isotope compounds. The Electric Motor Researcher will participate in research and development (R&D) related
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control solution to optimize the operation of the incineration process in biomass recovery plants. The ultimate goal is to increase the amount of energy per unit volume of biomass. The project is led by
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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of scientists and researchers in an effort to research transcription factor-based sensors for waterborne toxins of interest. High-throughput cell-based and cell-free screening approaches, along with
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
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of architecture and construction. The successful candidate will contribute to an interdisciplinary collaboration focused on building designs that will improve building affordability, productivity, energy-efficiency