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, including data management and the maintenance of computational infrastructure and software. Project background The position is part of the Institute of Microbiology at ETH Zurich and closely linked
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support the early-career fellow’s project and how they can help to build links with Zurich’s academic and art communities General information Employment Early-career fellows are employed full-time as
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Research focus: Molecular genetics in Arabidopsis to dissect key signaling components linking immune perception to metabolic regulation Phosphoproteomics and targeted metabolite analysis to identify
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
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and will personally be involved in the PhD program of the Department of Ancient Civilizations at the University of Basel. Most welcomed are PhD projects that can be linked to the research fields
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
that link molecular design to macroscopic performance in porous polymer aerogels The project is fundamental in nature but is embedded in an industry-sponsored framework that provides clear relevance
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data (what type and where; and what your role was) Diplomas Copy of your MSc thesis (or term paper if the thesis is not yet submitted) Summary of your MSc thesis (max. 1 page) 2 scientific references
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environments (Schmidt, Science, 2022) — especially in the context of drug–host microbiome interactions — and developing dedicated tools and analytic workflows for the novel data modalities generated by Record