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strengthen host communities. You will work on a quantitative research project that contributes to this mission. The project uses large-scale click data from an online job platform and administrative data
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Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive
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Computational Design Lab and work at the interface of computer vision, computer graphics, hardware, and extended reality. The project is part of ETHAR, a new research initiative at ETH Zürich with a unique focus
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The primary focus of this position is the project-specific analyses of diverse high-throughput multi-omics datasets, encompassing a broad range of data types such as whole-genome and transcriptome
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80%, Zurich, fixed-term The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury (SCI
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year, with a prospect of becoming indefinite) on the development of the data-analysis suite and pipeline infrastructure for the upcoming gravitational-wave space observatory LISA. In 2015, the LIGO–Virgo
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, data flow, and interfacing with digital tools such as LIMS, ELN, and data analysis pipelines Training and technical support for platform users and laboratory staff Documentation of systems, procedures
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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procedure. Data of the applicants will be shared within the Consortium for recruitment purposes only. All data provided by the applicants are processed solely for the purpose of the RE-Fibre call for
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communications flair will be central to this role as you craft compelling messages, manage diverse information channels, and support our internal and external communications.