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? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase. Your work will help shape environmentally
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We are looking for a talented and enthusiastic candidate for a fully funded 4-year PhD position. The PhD candidate for this project will be working at the RNA Structural Ensemble Dynamics group led
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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a dissertation? In that case, the position of PhD Predicting and Decision-making at the University of Groningen (UG) might just be what you are looking for! As a PhD candidate in prediction and
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essential to accurately predict their snow performance in the laboratory phase. This enables the proper selection of the most promising candidates for tire prototyping, which will later undergo outdoor
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Intelligence and Machine Learning into key processes, shifting from manual oversight to real-time anomaly detection and predictive maintenance. This approach reduces downtime and defects. This project will not
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toward green steel. To ensure that the steel produced by new processes is viable for industrial applications, it is crucial that these properties can be predicted with high precision. Position description
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Intelligence and Machine Learning into key processes, shifting from manual oversight to real-time anomaly detection and predictive maintenance. This approach reduces downtime and defects. This project will not
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the preparation and writing of grant proposals and research publications. About the project With the world’s population predicted to surpass nine billion by 2050, substantial challenges emerge regarding food
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of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly