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Oslo Business School at Oslo Metropolitan University (OsloMet) invites applications for a temporary position as PhD scholar in long-term PhD Position in Long-term Climate Governance Oslo Business
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English Join the University of Oslo for a PhD in Biomaterials! PhD Position – AI-Driven Multimodal Analysis and Predictive Modelling of Biomaterials Apply for this job See advertisement About the position
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UiO/Anders Lien 20th October 2026 Languages English English English Join the University of Oslo for a PhD in Biomaterials! PhD Position – AI-Driven Multimodal Analysis and Predictive Modelling
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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https://www.ntnu.edu/studies/phiv, see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in marine hydrodynamics, aerodynamics, fluid mechanics
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An investigation into the interface material layer created during linear friction welding of Titanium alloys. Applications are invited for a PhD position at the University of Nottingham addressing
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of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
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determined not only by how precisely they can measure frequency, but also by how strongly their transitions respond to changes in the fundamental constants. This PhD project aims to develop a new type of
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Porous construction materials, such as concrete, brick, or wood, are widely utilised in built environments due to their structural strength, durability, and thermal mass. However, their susceptibility to water ingress can lead to issues such as surface degradation, internal cracking, frost...
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fusion with cellular or endosomal membranes, has led to major advances in this field, culminating in the development of mRNA vaccines against COVID-19. The objective of this PhD thesis is to develop a