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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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chemical analysis is a holistic tool to characterize chemicals but struggles with very persistent and very mobile substances (vPvM) like ultra-short chain PFAS and trifluoroacetic acid. These substances
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in
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diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge energy modeling and analysis to be part of the Ports as
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analysis of dynamic systems of oligosaccharides; biophysical studies using spectroscopy (NMR, UV-Vis, fluorescence and CD spectroscopy) to investigate conformation, binding phenomena and self-assembly
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, proteomics) and bioinformatic analysis. Proficiency in data analysis, statistics, and excellent communication and collaboration skills are also desired. Excellent oral and written English language skills are a
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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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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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data from large scale DTU pilots Conduct pilot-scale CO2 capture experiments up to TRL7 Perform physical-chemical analysis of innovative solvents and gases The preferred candidate should have the