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computational modeling. The key objectives of ComDisp are: • Identifying and understanding housing, air quality, and respiratory health issues in each case study. • Linking climate change models to housing
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at NTNU and entering their final year during 2025. Such applicants will be considered for the Integrated PhD program. The position's working place is NTNU campus in Trondheim or Gjøvik. Your immediate
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, NTNU, SINTEF, Cicero and Norwegian Computing Center, as well as other stakeholders like Møre and Romsdal county collaborate. The overall objective of TRANSPLAN is to develop models and methods to support
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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outside academia. This PhD position focuses on the intersection of structural engineering, artificial intelligence, and computational design. The project aims to advance the autonomous generation
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Engineering, or Mechatronics Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level You must have a strong academic background from your
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using experimental, computational and data-driven tools for sustainable energy, environment and infrastructure applications. About the project Age-hardenable aluminium alloys are extensively utilized in
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to the Faculty's Doctoral Programme . You must have excellent oral and written presentation skills in English. You must have good oral and written presentation skills in Norwegian or another Scandinavian language
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. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and
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document that you are particularly suitable for a PhD education You must meet the requirements for admission to the PhD programme in Medicine and Health Sciences Good oral and written presentation skills in