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of two years of recent experience in nuclear reactor analysis and/or reactor analysis methods development Experience with various operating systems, high-performance computing, and SLURM systems
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, excitations and interactions, phase stability, in a range of quantum materials Responsible for presenting and reporting key scientific results and publishing high-quality research in peer-reviewed journals
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fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Letters of Recommendation: Please submit two letters of reference when
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to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Please submit two letters of reference when applying
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Qualifications: Experience with probabilistic programming frameworks such as PyMC, Stan, NumPyro, or similar. Experience with system dynamics or compartmental modeling — stock-and-flow formulations, feedback
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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transmission and scanning electron microscopy, SIMS, APT, and related methods. Set up and perform experiments involving vacuum pumps, flow meters, and microfluidic reactors to conduct experiments to study model
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extensions are subject to performance and availability of funding. Letters of Reference: Please submit two letters of reference when applying to this position. You may upload these directly to your application
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of funding. Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to [email protected] with the position title
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
for model refinement. Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models. Conduct scientific research on ferroelectrics and/or 2D memristive materials