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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modelling and optimization techniques, this research aims to identify optimum
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 19 hours ago-performance computing, and extreme-scale systems in the Department of Electrical and Computer Engineering. We are seeking scholars with demonstrated leadership in computing systems for modelling and simulation
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a postdoctoral researcher in the same or related subject area at MDU that exceeds one year. Applicants must be able to demonstrate knowledge and experience in: Simulation software for building and
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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are reaching the end of their automotive service life while retaining significant residual capacity suitable for second-life applications. To address the above challenges, the Postdoctoral Researcher will
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The Soft Robotics Lab within the Institute of Robotics and Intelligent Systems at ETH Zurich is inviting applications for several open postdoctoral positions. Our lab's goal is to build, model
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. Students will master key techniques, including finite difference methods for solving partial differential equations arising in option pricing, Monte Carlo simulation and variance reduction techniques