57 parallel-processing-"INSERM" Postdoctoral positions at Oak Ridge National Laboratory
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. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Design system-level approaches for time-sensitive or data-intensive processing of data originating
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, and other optical characteristics. Major Duties/Responsibilities: Assist in process and workflow development for fabrication of advanced waveguide systems using materials such as AlN and BaTiO3. Utilize
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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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forecasting, and dynamic safety modeling using Generative AI techniques. The role will involve working with LLMs and AI agents to process, generate, and reason over large volumes of historical and real-time
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. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in Mechanical Engineering, Nuclear Engineering, Physics, or a closely related
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our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
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/device models into open-source software tools for integrated system dynamic and transient simulations. Integrate post-processing measures for simulations to help with automation. Deliver ORNL’s mission by
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collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s