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data analyses using the group's existing infrastructure, as well as developing and implementing additional analysis workflows. A particular focus will be on single-cell and spatial transcriptomics
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of the optical properties of plasmonic nanoparticles using techniques such as UV-Vis and Raman spectroscopy. You will also prepare colloidal dispersions for thin film fabrication. Additionally, you will
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sciences and digital technologies, is an emerging subfield that we wish to develop as an academic discipline in the Lake Geneva region. Areas of interest include collecting Patient-Reported Experience and
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification
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to enable the scientists at ETH Zurich to develop new technologies necessary for their successful research. Curious? So are we. Starting date: The anticipated start date for this position is January 2026 with
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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motivated candidate with a strong interest in material development and characterization for electrocatalytic applications. LESE is focusing on the development, characterization and advancement of (solid) CO2
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100%, Zurich, fixed-term In the newly established Brain-Body Regulation Lab at ETH Zurich (Department of Health Sciences and Technology), we focus on developing non-invasive (self-regulation
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." This project aims to develop data-driven tools to assess supply chain vulnerabilities for critical medicines, using pharmaceutical Bills of Materials (BOMs), trade flows, and production data. The work is part of