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. Empa is a research institution of the ETH Domain. Our group of Biosensing and Functional Surfaces focuses on the studying the role of protein aggregation in dementia progression using nanoscale analytics
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) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods, for example for scenario generation or uncertainty exploration. The PhD will
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, Statistics or a related field and are motivated to apply advanced analytics to real-world digital health challenges. You have strong foundations in signal processing and are confident working in Python
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, engineering, atmospheric/environmental sciences, or a related field. Previous experience with one or more of the following topics is preferred: analytical techniques for aerosol properties, micro
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qualifications include: Hands-on experience with microbiological methods, material characterization, or polymer/ nanoparticle/ hydrogel synthesis. Strong analytical and problem-solving skills with high scientific
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
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that will shape your research career. Your profile We are looking for 2 highly motivated PhD students with a strong analytical background and an MSc degree in Physics, Computational Chemistry, Materials
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14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry
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related field. You bring a strong analytical background and are proficient in areas like geometric deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy
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for the next generation of autonomous experimental diagnostics in complex flow environments. Your profile We are looking for 2 highly motivated PhD students with a strong analytical background and an MSc degree