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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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, biocompatibility or the ability to reach deep brain areas. To solve this problem, we developed Ultra-Flexible Tentacle Electrodes (UFTEs), consisting of fibers one order of magnitude smaller than hair (2.4 um x 7 um
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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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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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and develops a blueprint for actionable climate research worldwide. NCCR CLIM+ broadly communicates and shares knowledge, and trains a new generation of experts with the necessary domain and
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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 for the global
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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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100%, Zurich, fixed-term The upcoming Molecular Engineering Thermodynamics (MET) Group at ETH Zürich is looking for a doctoral student to develop and improve computational tools for the molecular
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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