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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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of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid deposition and automated multi-technique characterization. Within the Swiss-Polish innovation
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Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid
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. Empa is a research institution of the ETH Domain. Empa's Laboratory 'Particles-Biology Interactions' and its group 'Multi-omics for healthcare materials' are looking for a candidate for an
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to work with a diverse, motivated, and multi-cultural team in a creative research environment. Support for personalized professional development and mentoring with the ability to build a strong support
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Metagenomics, meta-transcriptomics and metabolomics data analysis and familiarity with gut microbiome research. Machine learning for genomics (representation learning, generative models, causal inference). Multi
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interdisciplinary expertise in energy transitions, with a solid understanding of photovoltaics, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong