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. Research will involve growth of single crystals and measurements to understand their structural and physical properties including magnetism and thermal transport, as well as helping to identify new magnetic
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
. Focus will largely be in developing and deploying such AI/ML algorithms, closely collaborating with theorists and experimentalists to realize physics- models and/or physics-aware ML-models that can bridge
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nexus, data centers, and water & wastewater sector. You will work independently and with senior technical staff toward collecting data for all steps in development of manufacturing process flow sheets
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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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in sustainable manufacturing technologies with an emphasis on life cycle research. Experience in manufacturing process or energy systems modeling. Proficiency in the use of industry standard modeling
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manufacturing technologies and manufacturing systems that could achieve transformative gains in process productivity and enhance manufacturing sustainability Strong analytical capabilities with an experience in
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modeling, curriculum/active learning, data selection, iterative post-training, safety alignment and guardrails. Foundation Models for Science at Scale: Pretraining, instruction tuning, continued pretraining
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Requisition Id 15315 Overview: We are seeking a Postdoctoral Research Associate who will support the Accelerator Physics Group in the Research Accelerator Division, Research Accelerator Division
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) for tomographic reconstruction and analysis. Familiarity with physics-informed, plug-and-play (PnP), or generative models for imaging. Prior experience with multi-modal tomography (X-ray, neutron, electron