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10 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Structural Engineering Research Field Engineering Researcher Profile
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for a highly motivated and self-driven PhD student with strong intellectual curiosity and interest in computational mechanics, data-driven design, and sustainable engineering. You will become an integral
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to this position. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Health Sciences and participate in
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24 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Industrial Economics and Technology Management Research Field
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21st April 2026 Languages English English English We are looking for PhD Candidate in Particle Engineering Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a
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detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. This
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Economics and Technology Management (PhD in Industrial Economics and Technology Management (PHIOT) - NTNU ) within three months of employment, and that you participate in an organized PhD programme during
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/Chemistry/Ecotoxicology Apply for this job See advertisement About the position The Faculty of Environmental Sciences and Natural Resource Management (MINA) at the Norwegian University of Life Sciences (NMBU
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
. Required qualifications A prerequisite for employment is that the PhD Candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science . Another prerequisite for employment is
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Master’s degree in a relevant scientific field, such as soil science, environmental science/chemistry, ecology, or agronomy. Strong academic record in statistics and data analysis. The following experiences