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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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at the University of Oslo and in Tromsø at UiT The Arctic University of Norway. Machine learning is a core driver of artificial intelligence (AI) and an increasingly important force in a digital and data-driven world
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journals. IndEcol hosts its own International MSc program and contributes to NTNU’s engineering education. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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variety of experiences, backgrounds, and perspectives. We will do our best to meet your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical
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and the partners for the period 2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phma ). You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar
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skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
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the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical
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website aid-center.no About the Position Are you passionate about artificial intelligence, digital twins, and energy management systems in buildings? We are offering a fully funded, three-year PhD position