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- NTNU Norwegian University of Science and Technology
- NTNU - Norwegian University of Science and Technology
- University of Bergen
- BI Norwegian Business School
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Molde University College
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI
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the population and environment (air, soil, and groundwater). A schedule optimization problem has emerged in this context, where tasks correspond to contaminated sites to be cleaned, while managing risks
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IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT
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document describing in detail the study and grade system and the rights for further studies associated with the obtained degree. A project proposal (5-10 pages including topic, proposed method, schedule). CV
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, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim
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–10 pages including topic, proposed method and schedule, with clear citation if generative AI is used. CV. Minimum two letters of recommendation from employers, professors or supervisors. Please arrange
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topic, proposed method, schedule). CV. Letters of recommendations from relevant employers/tutors providing evidence of your skills as a researcher (a minimum of 2 letters). Please arrange with the people
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describing in detail the study and grade system and the rights for further studies associated with the obtained degree. A project proposal (5-10 pages including topic, proposed method, schedule). CV. Letters
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qualifications: Experience in running large-scale analyses on Linux-based HPC clusters using job schedulers (e.g., Slurm) and/or on cloud research platforms (e.g., DNAnexus/AWS). Experience in analysing high