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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
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The GEOCLOUD project team will use the cloud policy dataset together with infrastructure and usage data developed in other work packages to model how policies influence cloud geography and computational
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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quantum vortices, and develop novel methods to drive wave-like excitations Collaborate with leading international experimentalists, theorists, and computational scientists Present scientific results in
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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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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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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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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) and hybrid materials, strength grading, statistical and probabilistic modelling of mechanical behaviour, and/or development of wood construction technologies and industrial processes. The specific
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shrimps. In parallel with your experimental work, you would develop theoretical models in collaboration with our international collaborators. You would also develop advanced image analysis schemes