71 parallel-processing-"LCC-CNRS" Postdoctoral positions at Oak Ridge National Laboratory
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success Basic Qualifications: A Ph.D. in nuclear or health sciences (such as health physics
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related field completed within the last 5 years
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical
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Qualifications: Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application Strong
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aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one
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mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major
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AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success Basic Qualifications: A Ph.D. in Condensed Mather Physics, Materials Science and Engineering, or
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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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characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating