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                by combining advanced biophysical methods, with a particular emphasis on NMR spectroscopy for structural and dynamic insights into intrinsically disordered proteins, as well as complementary 
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                30 Sep 2025 Job Information Organisation/Company ETH Zürich Research Field Agricultural sciences » Soil science Chemistry » Inorganic chemistry Environmental science » Earth science Researcher 
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                the chemical & pharmaceutical industry and to model the potential for a circular economy in Swiss hard-to-abate sectors. The EPSE group at ETH Zurich, led by Prof. Dr. André Bardow, is dedicated to advancing 
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                position in Energy System Modelling The Research Center for Energy Networks (Forschungsstelle Energienetze - FEN ) at ETH Zurich was founded in 2011 to address the need for independent, credible and applied 
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                Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PostDoctoral position in Advanced Perovskite Image Sensors Postdoctoral 
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                modelling, structure biology and chemistry. Your profile PhD in Molecular Biology, Microbiology, Biochemistry or Structural Biology with research experience in any of these areas. You are highly motivated 
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                pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology 
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                these topics, working at the interface of advanced experimental testing, hydrogen analytics, materials characterisation, and modelling. Please explicitly state your interest as well as previous experience 
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                of this position is to establish advanced in vitro simulation models for vascular grafts to assess the performance of nanoengineered antimicrobial and antifouling coatings. Key objectives include: Development 
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                , advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement