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@nhh.no AI and the Professional Services – Rethinking Structure, Strategy, and Work in the Age of Algorithmic Expertise Within DIGs AI agenda we have a particular interest in proposals linked to AI and
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years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD
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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working
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this data. Clustering travel needs. To define different mobility needs and motivations based on the travel data, we apply different clustering algorithms (e.g., traditional k-means, density-based clustering
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experimental testing. You’ll design and run experiments, write and train algorithms, and contribute to open-source tools that may one day become industry standards. This project offers the freedom to explore
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normalization and integration of data from different sources, defining appropriate strategies to deal with all ethical and privacy/security requirements; Contribute to the development, validation and integration
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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reliable and reproducible measurements across different assays. In this PhD project, you will develop RMPs and reference materials (RMs) for several protein TMs to enable harmonized and reproducible
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involved, leads to complex logistics problems. The planning of rolling stock circulations and the regular maintenance at the various service locations is typically done by different planners. In addition
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learning algorithms, and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen DCs to become the next