75 apply-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" Postdoctoral positions at Oak Ridge National Laboratory
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design
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be expected to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications
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the challenges of heterogeneous privacy budgets and varying requirements across diverse clients. Major Duties/Responsibilities: Develop and apply differential privacy for large-scale models
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alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply analytical and modeling approaches to interpret experimental results. Collaborate
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as open-source libraries and contributing to community codes. Collaborating with domain scientists to apply sparse algorithms to DOE mission applications and mentoring and working with undergraduate
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conflicting. You will work alongside data scientists, software engineers, statisticians, and domain experts, publish and release your work openly, and apply these methods to nuclear nonproliferation and nuclear
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advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply analytical and modeling approaches to interpret
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-property relationships in non-ferrous alloy systems. Perform the necessary chemistry and processing modifications to meet target alloy properties. Apply advanced characterization and modeling techniques and
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, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Develop and apply AI/ML methods to integrate heterogeneous geospatial