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- Delft University of Technology (TU Delft); Published yesterday
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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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University as a postdoctoral researcher driving ScaleUA, an international Horizon Europe initiative strengthening Ukraine’s tech infrastructure and shaping innovation, strategy and governance across Europe
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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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processing, and user-friendly GUI-based analyses for clinical and physiological research. You will combine Python-based software development, biomedical signal processing, and FAIR data design, and contribute
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requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
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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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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