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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
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, optimisation, statistics, data science Elements from the two tracks can be combined. For more information about the Department of Business and Management Science and its research profile, visit the department’s
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, phylogeny, and conservation status of Malagasy Erica (Ericaceae) as part of the Threatened species conservation team: https://www4.uib.no/forskning/forskergrupper/threatened-species-conservation . About the
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consortium, 23 partners across Europe, aims to unlock the hidden potential of global metagenomic sequence space using a combination of synthetic biology, machine learning (ML), and ultrahigh-throughput
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are committed come together to further knowledge, anything is possible. The University of Agder combines the unique warmth and charm of Southern Norway with first-class scientific, technological and artistic
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, cargo, harbors etc. Large and deep AI models can be built using these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms
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@nmbu.no Where to apply Website https://universitypositions.eu/jobs/168966379-phd-scholarship-combining-data-fr… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Additional
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legal questions concerning the impact of EU regulation of AI technologies on society, various business sectors or public administration. The candidate will use legal methodology alone or in combination
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team: https://www4.uib.no/forskning/forskergrupper/threatened-species-conservation . About the project/work tasks: Background: Erica (Ericaceae) is a large genus of flowering plants with centres
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. Integration of domain knowledge into AI models, combining physics-based modeling, maritime regulations, and operational data with modern AI architectures. Evaluation of trust, transparency, and explainability
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, coordinated by the University of Cambridge in England. The MetaExplore consortium, 23 partners across Europe, aims to unlock the hidden potential of global metagenomic sequence space using a combination of