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augmentation for soil and biomass carbon forecasts and scenario modelling across Europe; developing and benchmarking uncertainty quantification methods for space-time predictions and for spatial blocks
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Sciences and Biotechnology Institute (GBB) of the University of Groningen (The Netherlands), to investigate RNA structural ensemble dynamics in living cells. What The successful applicant will work on a
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to predict precipitation fields over the Greenland Ice Sheet and the Himalaya in one combined project. For the Greenland Ice Sheet, the focus is on the spatial precipitation distribution on monthly and yearly
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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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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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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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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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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