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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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iterative solvers. Successful applications will work in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced
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Engineering, Nuclear Engineering, Mechanical Engineering, Physics, or a closely related field completed within the last 5 years Demonstrated experience with advanced materials characterization equipment and/or
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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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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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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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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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through papers, artifacts, and presentations at top-tier venues. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, a physical/computational science discipline (e.g., physics, chemistry
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in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible