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modeling of historical controls, as well as machine learning, data science, and epidemiological studies based on large SCI datasets. This is an excellent opportunity to contribute to translational research
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CAD packages (Autodesk Revit, Archicad and cadwork3d) and work in a multi-disciplinary team of software engineers, architects, computer scientists Your projects will include multi-disciplinary
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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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Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. To achieve
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, extract, and interpret data from high-resolution mass spectrometry platforms. Organize, manage, and analyze large datasets including bioinformatics. Communicate scientific results in written and oral form
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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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programming experience (Python, Julia, or similar). Interest in seismic, acoustic, or sensor data. Ability to work with large datasets and structured file systems. Good documentation and organizational skills
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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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analyzing deep sequencing and single-cell data (e.g., Scanpy/Seurat, count models, batch correction, differential analyses), including large-scale in vivo Perturb-seq or related CRISPR-based perturbation
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rooms and large-scale facilities at the Paul Scherrer Institute, and fostering the synergies with the Department of Materials (ETH Zurich). We would like to hire a Postdoctoral Researcher in the field