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Group , part of the Quantum & Computer Engineering department. Together, we explore the characteristics of complex networks, from engineering infrastructures to biological, brain, and social systems. We
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throughout the PhD process to engage in research, participate in local, national and international meetings and report on your results in scientific publications. This position has a light teaching load of up
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about making a tangible impact on the energy transition, we encourage you to apply. Job requirements Master’s degree in (Applied) Physics, Chemistry, Chemical Engineering, Materials Science, or a closely
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quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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, particles in a substance move so slowly that the effects of quantum mechanics become noticeable, making it possible to gain full control over the molecules. These findings are being used in quantum technology