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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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development (e.g., PyQt, Tkinter) CUDA for GPU acceleration Scientific computing libraries such as NumPy and SciPy A keen interest in scientific computing, atmospheric sciences, or advanced instrumentation is
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100%, Zurich, fixed-term Are you an ambitious postdoctoral scientist with strong analytical and numerical skills, and expertise in geomatics, remote sensing, and data processing? We invite you to
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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of catalysts for the hydrogenation of CO2 to methanol 100%, Zurich, fixed-term 17.07.2025 | Department of Mechanical and Process Engineering HPC Optimization Specialist 80%-100