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infrastructure, cloud computing, or digital sovereignty Excellent communication and collaboration skills in English Basic understanding of quantitative methods (e.g. multiple regression) Additional selection
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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2019 https://doi.org/10.1038/s41596-018-0110-x and Lara et al ., arXiv:2503.21396 https://doi.org/10.48550/arXiv.2503.21396 )). In parallel with your experimental work, you would develop theoretical
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks
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release on these projects can be found at the following link . This position’s focus is on developing engineered systems and methods to quantify the physical interactions between migrating cancer cells and
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a project to generate knowledge and impact towards sustainable urban futures. We expect such project will mobilize theories, tools and methods of participatory design and futures studies and can be
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emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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of an AI assistance system for fieldworkers, with a focus on large language model-based solutions for context-aware instruction generation. Your network and team The mobile cloud computing group