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the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design methodologies in urban planning
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produced in a responsible way. This ambitious endeavor should also include dialogues with society, a dedicated approach for responsible innovation as well as philosophical reflections on our understanding
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assessed by means of a high-fidelity end-to-end simulator. The current design of the NGGM DFAOCS could benefit from the latest advances in control theory and the use of a robust control framework in which
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Observation Programmes. You will be part of the ESA Φ-lab. Our mission is to accelerate the future of Earth observation (EO) by embracing disruptive innovation and acting as the catalyst for disruptive
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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ScaleUA, an international Horizon Europe initiative strengthening Ukraine’s tech infrastructure and shaping innovation, strategy and governance across Europe. Radboud University invites applications for a
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Modeling group at the DIFFER institute in support of EUROfusion projects on AI in fusion exhaust. The work encompasses conduction of plasma edge simulations for reactor design in the EUROfusion DEMO central
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drives innovation for a climate-neutral society. You will investigate how learning communities can be interconnected across micro, meso, and macro levels to create a sustainable knowledge ecosystem
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forecasting capacity. What you’ll do Together with the PI, you will provide scientific leadership for QUASI’s observational backbone and take responsibility for the design, operation and analysis of the multi
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Action Plan for Digitalising the Energy Sector (October 2022), the European Action Plan for Grids, the Net-Zero Industry Act, and recently the Clean Industrial Act. When it comes to the teaching related