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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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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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insights to predict such attitudes. This project investigates drawbacks and potentials of Big Data in SAE to measure attitudes towards LGBTQ+. Your job The Department of Methodology & Statistics invites
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dry fractionation and agglomeration trials to improve functionality of legume ingredients? Do you want to understand rheology of hydrated ingredient blends to predict extrusion behaviour for meat
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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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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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understand data, and then make useful predictions based on it. These algorithms integrate insights from various fields, including statistics, artificial intelligence and neuroscience. To find more information
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capable of local shrinkage or expansion upon application of heat. The response should be predictable on the nm level from basic understanding of the processes involved during growth and heating. Key
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towards greater sustainability. To achieve this, we aim to understand and predict the impact of anthropogenic pressures on ecosystems and humans, and use the knowledge obtained to identify solutions for a
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due to climate change, as well as reservoirs, teleconnections, tipping points and fluxes of energy, water and carbon, while predicting future change. The CCI also addresses the R&D required to support