78 phd-engineer-machine-learning Postdoctoral positions at Oak Ridge National Laboratory
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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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Demonstrated experience with low-background detectors, cryogenic liquid scintillators, plastic scintillators, additive manufacturing, and/or Ge detector technology Advanced computer programming experience
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth and Environmental Sciences, Ecology, Biosciences, Botany, Geosciences, or a related
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, reports. Seek membership in professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in
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professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage
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, technical reports, and presentations. Seek membership and service opportunities in professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant
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measure success. Basic Qualifications: A PhD in Chemistry, Physics, Materials Science or a related field completed within the last 5 years. Preferred Qualifications: Experience with interface battery
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
another, work together, and measure success. Basic Qualifications: A PhD in Physics, Materials Science, Chemistry, or closely related field completed within the last 5 years. Sound understanding of advanced
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, condensed-matter physics, neutron scattering, applied mathematics, and scientific computing. This position resides within the Quantum Sensing and Computing Group in the Computational Sciences and Engineering
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qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research