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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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package instructions for performance and documentation of repairs. Experience in the operation, calibration, and troubleshooting of radiation monitors and sensors, experience with flow instrumentation, and
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. Previous research experience in quantum sensing, quantum photonics, cryogenic spectroscopies, or nanophotonics. Preferred Qualifications: Experience with spin-based quantum sensors. Experience with dilution
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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, and real-time (GeoEvent) services. Implement and support offline GIS workflows, mobile field work, GPS-based data collection, and road network analysis (Network Analyst). Establish and maintain data
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Community (IC) mission areas. In addition to developing sensor systems across complex RF environments, you will develop prototype communication systems—implementing end-to-end transmitter/receiver chains
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, scalable computing and networking infrastructure, along with robust software management and deployment practices. This position resides in the Controls Integration Group within the Control Systems Section
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/Responsibilities: Platform Operations & Implementation Assist in day to day operations for on-premises and cloud-based Kubernetes clusters Develop and integrate critical components for networking, CI/CD tooling, OS
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networked controls used in transactive energy systems to unique modeling and simulation technologies for national security applications. Oak Ridge National Laboratory supports unique research needs