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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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. To this end, we will combine high resolution scanning probe microscopy with fluorescence imaging to study amyloid and tau proteins in biofluids from patients to identify those at risk of developing a specific
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling stability. Your research will focus on elucidating and engineering
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key contributions to novel personalized strategies of particles design for drug delivery, imaging, or diagnosis. Characterize, understand, the interaction of particulate materials with cells or tissues
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Zurich. The four-year project, funded by the Swiss National Science Foundation (SNSF), will investigate the in-cloud scavenging processes of plastic aerosol particles through laboratory experiments
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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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. Empa is a research institution of the ETH Domain. To strengthen our team and enhance our knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis
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project aims to develop hydroborate-based all-solid-state batteries. A central objective is to achieve a deep, mechanistic understanding of the processes that govern electrochemical performance and cycling
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online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and