60 maynooth-university-programmable-city-project Postdoctoral positions at Oak Ridge National Laboratory
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global analyses relevant to advanced energy and manufacturing technologies. MEERA is currently supporting a multi-laboratory DOE Geothermal Technologies Office (GTO) project to develop an independent
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: Design and implement system software to enable AI-readiness for scientific data by developing adaptive techniques capable of maintaining relationships between data and metadata. Collaborate on innovative
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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scientific domains. Roles and responsibilities include, but not limited to, one or more of the following: Design and implement system software to enable AI-readiness for scientific data by developing adaptive
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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, beam transfer lines and SNS Ring. The qualified candidate will also design software to monitor and control the SNS accelerator in real time and work in SNS Control Room. As a U.S. Department of Energy
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. Major Duties/Responsibilities: Collaborate with internal and external researchers on a variety of AI/ML-related research and development projects under the AI for Operations umbrella project. Develop
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models and imaging research capabilities under various projects. Develop, integrate, implement, and deploy novel AI/ML algorithms and workflows on HPC Develop efficient computing algorithms
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strategies. Major Duties/Responsibilities: The selected candidate will have responsibility for: AI Model Development: Design, develop, and apply innovative AI models to analyze and predict the response
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twins are leveraged to develop paradigm shifts in quality assurance, quality control, real-time process control, and design optimization for the United States. In this digital environment, you will use