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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis
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Engineering Principal Investigator: Dr. Milos Simic, PhD Start Date: Flexible About the Unit: The Pritzker School for Molecular Engineering (PME), established in 2011 by the University of Chicago in partnership
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analysis. Prior experience in EDA research and development. Prior chip tape-out experience (digital/analog/RF ICs, etc.) Familiarity with applied ML, modeling, and optimization. Salary Range $70,000
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Experience Requirements PhD or Equivalent Required Qualifications, Competencies, and Experience Experience in cell culture techniques and/or mouse models. Proficiency in standard molecular biology techniques
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applications. With guidance, the appointee will: Develop advanced multiscale, multiphysics simulation tools relevant to the modeling of processes involving combined nuclear, chemical, and electrochemical
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University. This is a unique opportunity to work at the forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion