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of certificates and diplomas upon request. The application must include: Transcripts and diplomas for Bachelor's and Master's degrees. Information about education and relevant experience (academic CV). Copy
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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programming to power system analysis, for example, through modelling, simulation, and data analysis Experience with power system laboratory work and real-time simulations. English language skills, both written
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to ecological and geophysical applications, to ultimately help improve the understanding of snow-related ecosystem processes and permafrost dynamics in Arctic and alpine environments. To this end, the candidate
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certified copies of certificates and diplomas upon request. The application must include: Transcripts and diplomas for Bachelor's and Master's degrees CV Copy of Master's thesis. If you have recently
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twins, data modelling, semantic technologies, resilience engineering and preparedness systems Knowledge of data interoperability or simulation systems Experience with AI/ML methods Experience with BIM
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upon request. The application must include: Transcripts and diplomas for Bachelor's and Master's degrees CV Copy of Master's thesis. If you have recently submitted your Master's thesis, you can attach a
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, simulation-based evaluation) Publish results in relevant venues and contribute to MAI cross-disciplinary activities Participate in collaboration with MAI partners and real-world use cases Be prepared
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well as several associated partners (https://www.nnrc.uio.no/english/research-themes/rt-5/ ). The PhD candidate will be part of a dynamic and productive academic team with a large international network covering