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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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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
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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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validate advanced drone technologies. The Centre serves as a national hub supporting all stages of drone innovation—from design and simulation to prototype development, testing and qualification. Facilities
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to
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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
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 3 months ago
), the phenomenon wherein weakly-reinforced behaviours persist longer after reinforcement ends than strongly-reinforced ones. Recent pilot findings with experimental simulations of socioeconomic circumstances show
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the PhD Programme in the Host University, and envisages future employment in SUTD. The SUTD–GEMS is tenable for a period of up to 5 years. Eligibility Criteria Singapore Citizen Singapore Permanent Resident