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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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you eager to make AI more sustainable? 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
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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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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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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
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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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that limit their predictability and broader application. You will investigate the underlying mechanical principles—including contact stiffness, constraint geometry, and material interactions, in particular
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change the ability of the ocean to absorb CO2 . The magnitude of this impact and the processes involved remain however difficult to predict. Also in the past, the strength of the AMOC varied and abrupt
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sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
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conferences, and academic journals. Your project will lead to better predictions of future coastal dune development and enhance the design and implementation of nature-based solutions. To support academic and