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Zurich. The four-year project, funded by the Swiss National Science Foundation (SNSF), will investigate the in-cloud scavenging processes of plastic aerosol particles through laboratory experiments
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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atmosphere-ocean interactions in the context of tropical cyclones. Our research group studies clouds in their various facets, from cloud microphysical processes to convective systems such as tropical cyclones
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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. Proactively training postgraduate students and researchers in modern computational and data-driven approaches to chemistry. Evaluating and integrating emerging technologies (e.g., AI/ML tools, cloud computing
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experience with multiple programming languages Experience with plugin-based architectures is a strong advantage Familiarity in geometry processing, meshes and/or point clouds is an advantage Familiarity with
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Lugano and in Zurich. Project background As high-performance computing, AI, and cloud technologies continue to converge, CSCS is redefining how to design and deliver advanced computational services. Modern
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management policies to achieve energy neutrality and autonomous operation in long-term deployments. Edge–cloud integration and field deployment. Deploy and validate sensor networks on representative assets
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, deployments in the clouds or on our own servers. We’re now looking for a new team member to join our Software Development & IT team. Read on to find out if this could be the right fit for you! You’ll be working
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-USYS) Systems Engineer – Cloud and Platform Services 80%-100%, Lugano, fixed-term 10.02.2026 | CSCS - Swiss National Supercomputing Centre Doctoral Researcher (PhD) in