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mechanistic investigations of polymer biodegradation using advanced analytical approaches. We translate our scientific insights into practice by supporting the development of next-generation biodegradable
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(bridge testbeds, turbine rigs), interfacing seamlessly with ADC1’s graph analytics and hybrid digital twins. Quantify energy, latency, and data-rate improvements against cloud-based baselines
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structure and function. Profile PhD in organic chemistry, organometallic chemistry, or a closely related discipline. Strong experience in synthetic chemistry, including route scouting, multistep synthesis
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analytical and molecular techniques Profile MSc degree in biomedical engineering or related discipline Previous experience in tissue engineering and cell culture is required Previous experience in data
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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to complex in vivo environments (Schmidt, Science, 2022), especially in the context of drug-host microbiome interactions, and the development of dedicated tools and analytic workflows for the novel data
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with the Communication Manager. Representation of the Center in discussions to strengthen project-based food system education at ETH and beyond. Profile Candidates need a MSc or PhD in agricultural
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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling
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, comprising RDM experts, research software engineers, data scientists, etc. Profile This position requires PhD degree in data / computational science or related field such as physics, bioinformatics
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. This PhD project, jointly supervised by Assistant Professor Thomas Giroux (Chair of Sustainable Finance, ETH Zurich) and Senior Researcher Chiara Colesanti Senni (Finance department, University of Zurich