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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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methods to work with a team of scientists in CSD to model chemical reactions important to determine the longevity of amorphous materials. That mechanistic information will be incorporated into process-based
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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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engineering, architecture, architectural engineering, or related field completed within the last five years. Experience in building energy modeling and analysis. Deep understanding of building thermal physics
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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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) 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
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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
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critical to understanding target behavior during irradiation in the High Flux Isotope Reactor (HFIR). This could also involve development, validation, and deployment of new physical and analytical testing