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Successful candidates are expected to run a world-class research and teaching program that emphasizes industrial translation in the field of manufacturing. We seek outstanding scientists with
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning with solid-state fermentation (SSF) using filamentous fungi to optimize nutrient profiles in food....
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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in materials research is important, experience in nanofabrication, micromechanical testing, and numerical simulations is desirable. Our offer You will be enrolled in the doctoral program in Mechanical
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ETH Zurich, Office for Faculty Affairs Position ID: 2253 -PROF2 [#26726] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Zurich, Zurich 8000, Switzerland [map ] Subject Area: Mathematics - Probability Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/04,...
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/ Quantum Optics , Atomic, Molecular, and Optical Physics , Cold Atoms and Molecules , Optomechanics , Quantum Optics and Quantum Science , Quantum Science + Quantum Information Science + Quantum Optics
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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computer skills (MS Office, SAP, etc.) enable you to work efficiently Experience in the areas of event management and communication, and an affinity for technical applications and web CMS With your
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highly supportive infrastructure, including state-of-the-art core facilities. Main tasks – Research: Establish a research program in the field of eukaryotic gene expression and/or functional genomics; use
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Developmental Medicine will probe and integrate multi-omic data sets (i.e. genetic, epigenetic, transcriptional and metabolomic data) to create computational models defining the molecular signatures underpinning