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subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric PFAS levels and model their respective emission strengths in Switzerland. The results
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remains limited, with numerous fabrication challenges yet to be addressed. This collaborative project in close collaborration with partners at ETHZ and TU Delft aims to bridge the gap in current medical
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components and nucleic acids interact and self-assemble. Apply data analysis and modeling to deepen understanding of nanoparticle architectures, and contribute to standardization-relevant method development
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analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
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: surface functionalization chemistries, spectrophotometric analysis, analysis of release kinetics and synthesis of hydrogels (nanocomposites). Our offer The work will be carried out at Empa St. Gallen (under
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands