200 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"PhD-Jobs" positions at ETH Zurich
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development of ETH Zurich, aiming to further strengthen its scientific excellence in research and education, reinforcing its position as a globally leading university, and nurturing a positive institutional
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Intelligence in Mechanics and Manufacturing at ETH Zürich. Project background Our research group performs research on cutting, grinding, EDM, and simulation. We develop and refine manufacturing technologies
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to join our team focused on genome evolution and cellular systems biology. The ideal candidate will bring significant experience in lab management, experimental design, molecular biology, yeast genetics
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simulation techniques and work on efficient rendering algorithms. Job description Develop and optimize physically-based simulation algorithms, with a focus on cloth, soft bodies, or deformable materials
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thermoacoustic instabilities, and the nitrogen oxide production pathways of propagating and autoigniting hydrogen flames must be understood in order to develop hydrogen combustion technologies. In particular
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independent thinker, eager to learn, and ready to take responsibility for her/his experiments and scientific development Applicants should hold a Master’s degree in Biology, Biomedicine, Pharmaceutical Sciences
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spatially aware predictive methods, tools will be developed to simulate the impact of system changes in selected scenarios, supporting the transition to a fully electric car-sharing service. These methods
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maintaining visual consistency across all communication channels Contribute to the development of infographics and visual explainers for technical topics and projects Digital Media & Content Creation Design and
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, ensuring accurate handling, preprocessing, and integration of heterogeneous clinical, neurophysiological, and biomarker information. These datasets are readily available at the start of the project. Develop
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become more adaptive, efficient and context-aware, creating the foundations for the next generation of wearable and augmented reality platforms. The research focuses on developing novel ML methods