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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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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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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
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intelligence (AI) to optimize large dataset analysis, improving decision-making processes for awarding grants to firms and scientists. Key research areas include: Enhancing Selection Decisions: How can we make
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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
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Nonlinear Structural Analysis Strong analytical and technical problem-solving skills, with a solid foundation in Mathematical, Probabilistic and Engineering principles and methods Familiarity with offshore