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Laboratory (ORNL). As part of our team, you will investigate the atomic and electronic structures in energy and quantum materials and correlate them with relevant properties for energy and data storage
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ferroelectric and ferroelastic materials, under external stimuli such as electric fields, light, strain, and temperature. This position resides in the Data Nanonanalytics (DNA) Group within the Nanomaterials
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, and adapt to ever changing needs Preferred Qualifications: Familiarity with containerization technologies and microservices Familiarity with basic machine learning and data analysis pipelines (ingestion
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affordability of energy supplies. The PSR group focuses on resilience, data analytics, protection, and EMT simulation research. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models
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refrigeration. Experience with microwave electronics. Experience processing van der Waals materials and heterostructures. Strong programming and data visualization skills. A strong record of productive and
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length scales Develop machine learning algorithms to support process optimization, predictive modeling, and intelligent manufacturing control Integrate simulation tools with in-situ sensor data from
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Laboratory. Major Duties/Responsibilities: Develop and implement advanced time-frequency and spectral analysis techniques for high-frequency voltage/current waveform data Apply wireless PHY-layer concepts
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comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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framework for driven and open quantum systems. Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. Experience in analyzing data from