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experiments at X-ray free-electron laser (XFEL) facilities. The role will also involve sample preparation, and characterization using both standard lab-based methods (optical and scanning electron microscopy
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the full workflow. Help push technology forward within a rapidly evolving environment. Profile MSc or PhD in Computational Science, Computer Science, or a related field Experience in software development
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the adoption of data science and machine learning methods within these diverse disciplines. Project background At the Swiss Data Science Center we work extensively in the application of machine learning
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100%, Zurich, fixed-term We are seeking for a curious and motivated PhD student to join our bionanophotonics team and work at the interface between nanophotonics and digital holography to advance
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. Profile Education: Master’s or PhD in Computer Science, Data Science, Software Engineering, or a related field. Experience: Proven track record in data engineering, software development, and integration
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, where 2 PhD students work on developing lipid biomarkers for soil fertility. Propose your own research approaches to answer previously outlined research questions. Methods used in the group encompass a
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Engineering of ETH Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential
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novel method for autonomous design of 3D shapes fitting to the user body and optimizing the design to the desired assistance. Apart from actively shaping our group's research, the positions include
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100%, Zurich, fixed-term Prof. Eva Heinen is seeking an ambitious PhD candidate to join her research group at the Institute for Transport Planning and Systems, Department of Transportation and
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including