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Group in the Social Networks Lab at ETH Zürich is developing network data science methods and applying them in a variety of domains. Our current research focus is on sports analytics and we seek to expand
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, 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 that learn from limited resources
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of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design
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the most important gas for high-voltage switchgear. Its global warming potential is 23‘500 times higher than that of CO2 and world-wide efforts are underway to develop and optimize equipment with
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international economy. Develop and implement new forecasting and nowcasting models, and maintain reproducible code and data pipelines. Profile Excellent academic results and are motivated to produce high-quality
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role in a vibrant group exploring the molecular mechanisms underpinning bacterial evolution and resistance. This fully-funded, full-time position combined with ETH's excellent working conditions, makes
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Position: Bioprinting next generation functional tissues The field of tissue engineering and bioprinting is continually advancing to develop functional tissue models that more accurately mimic native tissue
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the physics of synthetic frequency lattices in fast-gain lasers. Job description Develop simulation frameworks for frequency lattices, mapping the interplay of RF modulation, gain recovery, and nonlinear
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-of-the-art laboratory infrastructure, the candidate will have a unique opportunity to develop their research abilities at the frontiers of science. Successfully completed undergraduate studies (M.Sc.) in
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international research institutions and stakeholders from politics, business, and society Flexible working conditions and opportunities for personal development We are actively committed to a sustainable and