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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process
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of developing simulators for Post-Von Neumann architectures. The candidate would become a member of the Innovative Computer Architecture group and become part of the CogniGron research centre as well as the NL
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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the durability of materials and improve recycling processes. Be part of this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy
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of developing simulators for Post-Von Neumann architectures. The candidate would become a member of the Innovative Computer Architecture group and become part of the CogniGron research centre as well as the NL
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cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy. Correlating experimental, ab initio and multi-scale simulation as well as machine learning
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”. This project research techniques for intelligently automating processes for large-scale simulation of robots and mobile machinery that operate in and physically manipulate dynamic environments. Research
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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”. This project research techniques for intelligently automating processes for large-scale simulation of robots and mobile machinery that operate in and physically manipulate dynamic environments. Research