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                , Department of Organization invites applications for a vacant PhD scholarship within the field of organization studies, with a particular focus on digitalization in the public sector. The scholarship is part of 
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                qualitative research as an integrated whole, where methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential 
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                chance to connect and work with leading researchers in the Copenhagen region and abroad. As part of the project, you will also have the opportunity to spend some months under the supervision of Assistant 
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                the national center for nano- and micro-fabrication. We work in tight collaboration with a team of quantum nanophotonics theorists and a team of nanofabrication experts. We have established an effective in-house 
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                of Denmark is seeking candidate for one PhD position to work on corrosion failure mechanisms of Power Electronic components under humidity and gas conditions. Environmental effects on electronics 
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                engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a merit and even better is 
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                methods, theory, and empirical work mutually enrich each other Brings together diverse perspectives: humanistic, educational, socio-cultural, and existential psychology Actively contributes to public 
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                engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently 
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                Mathematical, Probabilistic and Engineering principles and methods. Familiarity with offshore engineering and wave-wind theories is advantageous. Experience in coding (e.g., Python) and in the use of Structural 
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                of the nonlinear structural performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators