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of nanoparticles for healthcare and industrial applications. As a PhD candidate, you will: Develop and refine SAXS and FCCS methods to quantify size, concentration, density and internal structure of diverse
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plan to demonstrate the results on custom-built real-world 3D printing setups available at IfA and inspire. For a large-scale proof of concept, we will implement the results on a testbed combining
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integration Experience with programming languages and exposure to real-time imaging analysis Strong teamwork and communication skills for interdisciplinary collaboration *Applicants who do not fully meet all
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100%, Zurich, fixed-term The Environmental Policy Lab at ETH Zurich is inviting applications for two fully funded PhD positions focused on biodiversity policy and strategic spatial planning
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Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with
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to pursue independent research while contributing to ongoing projects exploring how digital ecosystems are reshaping environmental decision-making. We welcome applicants from a wide range of disciplines who
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ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with the following documents: Cover letter CV copies
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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proteomics approaches for the analysis of post-translational modifications (e.g. phosphorylation, ubiquitination), or MS-based spatial proteomics. Basic programming skills and glycoproteomics experience