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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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research achievements and research interests Detailed CV Transcripts of all degrees (English) Names and contact information of at least 2 references Representative published research work (Papers or thesis
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involve team-based, open-source software development to build planning automation tools and digital information exchange between AEC disciplines. Specific topics of investigation may include computational
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80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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80%-100%, Zurich, fixed-term Are you passionate about turning biomedical data into actionable insights? Do you excel at coordinating cross-disciplinary development and transforming research tools