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/ The underlying project is under supervision of Prof. Dr. Peter Zaspel and Prof. Dr. Michael Günther. The team of Prof. Peter Zaspel is located at Bergische Universität Wuppertal. The international team focuses
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regulations and product certification due to the inherent uncertainty of how AI systems make decisions. Classical engineering development guidelines, are difficult to interpret or simply not transferrable to AI
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responsibility is to conduct high-quality research on hybrid artificial intelligence. You will: Combine deep learning to capture long-term patterns and uncertainties with stochastic model predictive control
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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-leading climate experts with the aim to address existing uncertainties about climate feedbacks at the boundaries between oceans, land, ice, and atmosphere. Our interdisciplinary approach and state
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of Profs. Jack Middelburg and Henk Dijkstra , you will elucidate ocean alkalinity dynamics and develop new and improve existing models for ocean carbon cycling. The initial focus is on the alkalinity
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-year research programme, funded by NWO(link is external) , EMBRACER brings together a wide range of world-leading climate experts with the aim to address existing uncertainties about climate
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existing uncertainties about climate feedbacks at the boundaries between oceans, land, ice, and atmosphere. Our interdisciplinary approach and state-of-the-art infrastructure will bring us forward in our
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. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused
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to investigate the cognitive and social behaviour (such as knowledge acquisition, organization, and transmission, recognition processes, or risk assessment and decision-making under uncertainty) involved in