111 structures-"https:"-"https:"-"https:"-"Lund-University" Fellowship positions in Norway
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9th April 2026 Languages English Norsk Bokmål English English PhD Fellowship in Structural Engineering: Integrity of Steel Structures Apply for this job See advertisement Job description The
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Biochemistry and Structural Biology
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and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294723/phd-research-fellow-in-biochemistry-and-structural-biology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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Lab at OsloMet and will be carried out in collaboration between structural engineering and data-oriented research environments. The work includes structuring and analyzing multi-source bridge-condition
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incorporating the symmetries and geometric structure underlying the data. This framework allows one to work effectively with data defined on domains that possess intrinsic shape or symmetry, such as articulated
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invites applicants for a PhD Fellowship in Resilient Bridge Infrastructures at the Faculty of Science and Technology, Department of Mechanical and Structural Engineering and Materials Science. The position
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structures for efficient CO2-capture and storage. The postdoc will use atomistic modelling with both force field and ab initio methods to study various systems of surface adsorbed aromatic macrocycles or also
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University of Stavanger invites applicants for a PhD Fellowship in Surrogate Modelling of Fluid Flows using Deep Learning at the Faculty of Science and Technology, Department of Mechanical and Structural
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registries on family structure, residence, schools, health, and education. The postdoctoral fellow will be working with GeoGen Team members from Psychology, Economics, Sociology, and Educational Sciences
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learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change and increased uncertainty in life and non-life insurance modelling