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biocompatible nature, polysaccharides offer exciting opportunities for the development of next-generation functional materials. This PhD project combines materials science and microbiology to explore how
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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in
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together to develop solutions for the global challenges of today and tomorrow.
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, and remodel mechanical signals, and how these processes govern fundamental biological functions such as homeostasis, growth, differentiation, migration, development, and apoptosis. Despite major
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-fabrication workflows. Specifically, the work will develop within those research streams: developing tools and workflows to efficiently assess discarded materials creating a digital inventory of reclaimed
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printing, and related techniques), and to develop systematic parameter studies that enable robust and repeatable sensing layers. Job description Systematic investigation of deposition process parameters and
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: Identify opportunities for outreach, visibility, and knowledge transfer; develop and implement the NCCR communication strategy Content Creation: Identification and promotion of scientific highlights and
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model’s behavior in a desirable way; and (3) verify that the intervention also has benefits for human learning The postdoctoral candidate is expected to develop their personal research agenda within and
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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We seek a highly motivated PhD student for a multidisciplinary project across two groups: (i) The Surface Earth Evolution (SEE) group in the Department of Earth and Planetary Sciences at ETHZ is