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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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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic
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numerical simulations to reproduce and predict magnetically confined fusion plasma experiments 2.Development of transport models based on simulation data and their implementation into integrated transport
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
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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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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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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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be submitted through the university’s online recruitment site: https://www.uvmjobs.com . Nominations and inquiries should be sent to Peter Newman at Peter.Newman@uvm.edu and copy Crispina Pincus
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formalized in the online application submission system, available on FMUP's webpage: https://sigarra.up.pt/fmup/pt/CNT_CAND_GERAL.CONCURSOS_LIST (Ref. 2026/16, Pr. 414). 11.3. The application is accompanied by
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the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance