230 engineering-computation-"https:"-"https:"-"https:"-"https:" uni jobs in Switzerland
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implementation strategy to drive the LIFE Space Mission to successful launch and operations. To support the mission concept study, we opened two positions in Optical Engineering. Project background LIFE brings
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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fields, and Gaussian Splatting). Profile Degree in Computer Science or a related field, with several years of professional experience as a software engineer Strong proficiency in Python and C#, and
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100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
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or Master's level) Interest in geophysics, civil engineering, or data-driven infrastructure monitoring Practical, hands-on attitude for field and laboratory work Programming experience (Python preferred
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with the ability to work across multiple projects in a collaborative academic environment. We are looking for someone with: Master’s degree in aerospace engineering, electrical engineering, computer
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Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics