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to three years or a SU PhD scholarship (4+4) for a period of up to four years in AI-based Analysis of Scandinavinist Propaganda and Public Perceptions during the Crimean War (1853-1856) provided
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potential market failures and prevention mechanisms. You will be combining theoretical analysis with practical applications, involving mathematical modeling, algorithm development, and coding. You should have
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analysis. The project is funded by the Danish National Defence Technology Centre (NFC). The project is a collaboration between DTU, the Alexandra Institute and Copenhagen University’s expertise in AI-driven
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites (e.g., GAMS, Pyomo, JuMP, or similar). Besides that, your ability and
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that are listed below. Solid background in Structural Dynamics, Finite Element Modelling and Nonlinear Structural Analysis. Strong analytical and technical problem-solving skills, with a solid foundation in
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critical qualifications and technical skills that are listed below. Solid background in Structural Dynamics, Finite Element Modelling and Nonlinear Structural Analysis. Strong analytical and technical
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
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tools for detecting biomarkers that can aid in the diagnosis and prognosis of bladder cancer. It involves close collaboration with medical doctors in Denmark and internationally, including the analysis