353 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions in Switzerland
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society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic
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100%, Zurich, fixed-term Applications are invited for a PhD position on Water Disinfection Chemistry in the Environmental Chemistry group at ETH Zurich. The project focuses on the recent discovery
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for an exceptional and highly motivated PhD candidate for a joint project. We are recruiting a full-time (100%) PhD Student with a strong interest in peptide chemistry, mass spectrometry, and modern drug discovery
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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the SVT course programme Contributing to the operation of the group and the Institute Profile You ideally have a Master’s degree in computer science, artificial intelligence, transportation engineering, or
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approaches. Profile PhD in biochemistry, analytical chemistry or related fields, with at least 3 years demonstrated practical experience in proteomics sample preparation, LC-MS/MS and data analysis and data
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research assistant position in Development Economics. The starting date is the 1st of October for 6 months. This is a position to get some research experience between a Master’s degree and a PhD program. Job
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Engineering of ETH Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential
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) at the Institute of Biomedical Engineering at ETH Zurich. The research in the newly established Multiphase Fluid Dynamics group at ETH Zurich examines both fundamental and applied questions in various small-scale
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, control engineering, and immunoengineering. This position is part of our newly funded ERC Advanced Grant, which aims to develop genetically engineered feedback control circuits in human T cells to tackle