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- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
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Creating superpositions of massive objects with a superconducting qubit: Can we test if gravity is quantum? Job description The radical theory of quantum mechanics is known to describe the fundamental
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
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into applications. TRILOGY brings together 11 leading institutions across Europe to train 16 Doctoral Candidates at the forefront of theory and experiment in ultrafast science. The programme offers a unique
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European estuaries, thereby linking fundamental theory to real-world applications. In the second phase of the project, the research will advance beyond the traditional 2DV framework by incorporating lateral
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projects. The research is of international quality, and we collaborate with researchers around the world. Within the area of Energy system analysis, the research is targeted at the transition to a
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combining theory, research, and design practice Enthusiastic about connecting with people and engaging with real-world societal challenges Willing to contribute to a positive work atmosphere Emphasis will be
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is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and information theory: designing and analysing
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in wireless communications, communication theory, signal processing, or RF systems. Aerospace Engineering, especially candidates with experience in LEO satellites, mega-constellations, orbital systems
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increasing pressure to minimise global warming impacts over the building’s new life cycle. As a PhD researcher within the Horizon Europe project ReEnsemble, you will investigate how decisions about adaptive
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degree in a STEM field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are a machine learning