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role in a vibrant group exploring the molecular mechanisms underpinning bacterial evolution and resistance. This fully-funded, full-time position combined with ETH's excellent working conditions, makes
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exploring the molecular mechanisms underpinning bacterial evolution and resistance. This fully-funded, full-time position combined with ETH's excellent working conditions, makes the role especially appealing
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Position: Bioprinting next generation functional tissues The field of tissue engineering and bioprinting is continually advancing to develop functional tissue models that more accurately mimic native tissue
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presentation skills and excellent skills in technical/scientific writing. With the social and leadership competencies , ETH Zurich has developed a common understanding for a shared work culture. Kindly try to
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avenues for their exploitation in next-generation technologies. Job description The researcher will be responsible for developing unconventional computing based on the behaviour of arrays of nanomagnets
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-of-the-art laboratory infrastructure, the candidate will have a unique opportunity to develop their research abilities at the frontiers of science. Successfully completed undergraduate studies (M.Sc.) in
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the physics of synthetic frequency lattices in fast-gain lasers. Job description Develop simulation frameworks for frequency lattices, mapping the interplay of RF modulation, gain recovery, and nonlinear
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characterization. Project background The highly interdisciplinary project is about the development, characterization, modeling, and application of micro-and nanoscale ultrasound contrast agents for molecular imaging
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position) is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. The project aims to develop a conceptually new type of image
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description You will identify critical knowledge gaps, develop and apply machine learning models, statistical analyses, and AI-driven tools to analyze large-scale datasets of animals, including metabolomics