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Two Senior Innovation Coaches (specialkonsulent) for Early-stage Medical Technology Innovation Teams
people distributes across offices in Aarhus and Copenhagen who work together to pull off the intensive 10-months fellowship programme from both an administrative, practical and subject matter perspective
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of teaching hours per subject per calendar year, as well as any related examination work, for the past three years. Additionally, you should provide an overview of the amount of supervisions, distributed by
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to plan and carry out complicated tasks and to pursue parallel paths able to accommodate strict time boundaries imposed by the overall project goals excellent at communicating and reporting your work in
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performance computing) services. We are looking for a new colleague for a newly established position, someone with insight into and interest in the technical aspects of FAIR data management solutions and
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Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen, Denmark. At the
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professorship is a permanent position. The positions will have employment at Campus Esbjerg and will also include occasional research- and educational tasks at our program at Campus Odense. Explicitly, we welcome
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of the effects of climate change, habitats and recovery, dynamics and distribution of stocks, interactions between species (such as prey and predators), recreational and commercial fisheries, and the integration
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The Center for Hybrid Intelligence is an interdisciplinary team of researchers and practitioners from physics, computer science, human-computer interaction, management, economics, psychology
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the associate professorship is a permanent position. The positions will have employment at Campus Esbjerg and will also include occasional research- and educational tasks at our program at Campus Odense
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for Humanities Computing, Aarhus University, focusing on investigating and developing NLP and AI technologies. Our research areas include model evaluation and post-training, representation learning, and the