211 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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development and validation of the mobile platform. The postdoc will play a major role in preparing ethics applications, research collaboration agreements, study protocols, and regulatory documentation, as
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are expected Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society You
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typically conduct work related to membrane synthesis, experimental characterization, and transport modeling. Job description The postdoctoral researcher will lead and develop research activities on next
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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are essential for controlling the highly dynamic power flow. For pushing the efficiency and power density limits of these SSTs you will develop multi-physics models of transformers, which describe not only
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data, spanning from whole-genome variant calling and decision support to single-cell sequencing analysis. We develop and extend robust analysis workflows and reusable components, in close collaboration
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The Institute of Molecular Systems Biology (IMSB) at ETH Zurich invites applications for a Postdoctoral Researcher in Metabolomics & Technology Development in the laboratory of Prof. Dr. Nicola
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100%, Basel, fixed-term We develop technologies to exploit whole cell and enzyme catalysts for manufacturing of substances for applications in fields such as sustainable chemistry, innovative food
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to foster translational research focused on developing treatment protocols and clinical therapies, as well as novel technologies and intelligent systems, in the emerging fields of Regenerative Medicine
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Systems.”Funded through an ETH Zurich Career Seed Award, this project aims to develop scientific machine learning frameworks that integrate physics-based modeling with neural network architectures. The goal