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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
high persistence, long environmental half‑lives, and widespread occurrence as contaminants in natural and biological systems. Their low concentrations, diverse structures, and complex behavior create
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peptides and selected post-translationally modified species. The overarching goal is to develop experimentally driven strategies, grounded in gas-phase ion chemistry, that improve peptide and proteome
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partitioning, and bioreactor performance. Developing and applying modeling tools to evaluate enzyme activity, and process performance across scales. Advance bioprocess optimization of complex microbial systems
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. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths
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of the local environment. Ideally it would be possible to control the process optimally, without many expensive and time-consuming experiments or the need for complex online feedback mechanisms. In practice
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position is full-time, starting 1 June 2026 (or as soon as possible thereafter), and is initially for two years. As part of the recruitment process, a shortlisting procedure will be applied. Expected start
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approach to working with data. The ideal candidate is comfortable handling complex datasets, enjoys collaborating closely with others, and is motivated to contribute to a shared research project. Experience
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diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position. Application process: Step 1: initial selection based
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the application or recruitment process, if there is something we should know, or if as a person with disability you wish to make use of your preferential access. Where to apply Website https://candidate.hr
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strong background in computational condensed matter physics. Experience with first-principles electronic structure methods and scientific programming is expected. The ideal candidate is highly motivated