4 parallel-and-distributed-computing-phd positions at VIN UNIVERSITY in United Kingdom
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Research. KEY SELECTION CRITERIA We are seeking outstanding early-career researchers who meet the following criteria: Educational Background: At least a PhD in AI, Computer Science or related fields from a
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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ABOUT VINUNIVERSITY’S RESEARCHER 200 VinUniversity is proud to launch the RESEARCHER200 Program, designed to attract exceptional early-career researchers from around the world to join our vibrant
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis