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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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at the McGill School of Social Work are seeking a graduate-level research assistant to support activities relating to the Lab’s Dialogue McGill grant. Simulation-related research tasks may include the development
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants The call is governed by this Notice of Opening, the University of Coimbra Research
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referred to as Regulation; Rector's Order No. GR.11/02/2025, of 19 February 2025, which changes the value of research grants at the University of Porto for the year 2025; Disciplinary and scientific areas
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opens a call for the assignment of a research grant, with one position(s), under the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and
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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 internal
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, biochemical engineering, or other eligible discipline. Candidates must pass a background check in order to access U.S. Army facilities. Preferred skills: Two years of laboratory experience Experience and/or
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange