53 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" Postdoctoral positions at Oak Ridge National Laboratory in United States
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scientific papers in key journals and present at key meetings. Ensure compliance with environment, safety, health, and quality program requirements. Maintain a strong commitment to the implementation and
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develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work with the world's first exascale system
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synthesis and characterization of bulk materials to understand structural, electronic, and magnetic properties. This includes identifying candidate materials and developing ideas for tuning them toward
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. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
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uncertainty quantification. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and
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advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
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industrial imaging data. You will directly contribute to developing and deploying algorithms for multi-modal tomography (X-ray, neutron, and electron), advancing methods for non-destructive evaluation (NDE
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breaking in nature, the limits of nuclear stability, and signatures of new physics beyond the Standard Model. Major Duties/Responsibilities: Develop formalism and methods for computing properties of nuclei
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, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The qualified candidate will study, simulate and develop software for beam transport and beam dynamics in SNS superconducting linac
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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more