257 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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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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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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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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experimental scientists to guide study design and data interpretation Contributing to grant writing and shaping the lab's computational strategy Mentoring and advising PhD students and postdoctoral researchers
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. Applications via email or postal services will not be considered. Furthermore, applications without a research proposal will not be considered either. For further information about the group, please visit our
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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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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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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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Chief Physician with professorial rank within the Internal Medicine Service - Department of Medicine
programs funded by competitively awarded grants. Good knowledge of French (native speaker or C1 level preferred) or ability to acquire it quickly. Further information may be obtained from Prof. Peter
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camera systems and give introductions to their use. In addition, they are expected to collaborate closely with the group members in project design, data collection and analysis, and finally be part of