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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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Kibsgaard and Professor Stig Helveg, DTU Physics. We favour candidates with a degree in physics, chemistry or materials science. The candidate should preferably have experience in electron microscopy
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that: You have an open mind and can think creatively in a computational and/or programming context. You are interested in combining your physics-based modelling skills with data-driven analysis
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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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applicant for the Ph.D. scholarship will be a statistician with a strong background in mathematics and statistics i.e., a candidate degree in for example mathematics, (bio)statistics, or engineering sciences
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equivalent to a two-year master's degree. Your academic background needs to be relevant to the above-stated project objectives, e.g., civil engineering, mechanical engineering, physics, or applied mathematics