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the Construction Management and Building Informatics Research Group, Department of the Built Environment at Aalborg University in Aalborg Description The generation and accumulation of waste is a global problem for
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Civil Engineering in Structural Reliability of Sustainable Materials from April 1, 2026 or soon hereafter. The duration of the position is three years. Your work tasks Construction materials with low
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PhD scholarship in synthesis and experimental studies of the phase behavior of ABC-miktoarm star ...
structures resulting from microphase separation. The overall focus of the project is to study how the detailed structure and chemistry of the individual blocks A, B and C influence the nano-scale self
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directing the whole value chain from basic material understanding to materials' applications in mechanical construction, industrial production, and management. The department has several strong, international
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their language skills. For further information about the guidelines for PhD studies at UCPH, please refer to: https://phd.ku.dk/english/ . For further information about the structure of the PhD programme, please
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English, in writing and orally, and you are used to collaborating in international and multidisciplinary environments. You work in a structured and analytical manner, take responsibility for your tasks and
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project will develop a methodological framework for reliability-based structural design and integrity management of the support structure of the subsea HVDC electrode unit, supported by experimental tests
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Job Structure for Academic Staff at Universities (in Danish). Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations
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at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish). Salary and terms of employment are in accordance with the collective agreement
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, they are difficult to search and analyse. The AI: PAGE Lab develops AI tools that transform historical texts into machine-readable and machine-understandable structured knowledge about the people, places and events