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transcripts Names and contact information of at least 2 references Representative publication/thesis Questions regarding the position should be directed to Prof. Hedan Bai at hedan.bai@mat.ethz.ch . About ETH
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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the Department of Chemistry and
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-troversial, particularly in the setting of "low grade" DS. Currently, DS is measured based on static radiographs, which do not capture the dynamic nature of this instability. Basic data sets on a dynamic
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to analyze crystallographic data and model electronic structures in complex materials. The work involves creating code for processing diffuse scattering data, performing density functional theory (DFT
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employment details at ETH Zurich, visit ETH Zurich Employment Information . chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich encourages
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Management, Business Administration, or a related field. Independence and high motivation for academic research in the group’s topics. Proficiency in empirical research methods, including statistics and data
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the following documents: Motivation letter (1-page) providing information on relevant skills and experience, and reasons for applying for the position CV, including qualifications, past academic and professional
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modeling and computational techniques. You will also be exposed to experimental methods used to produce data that will be useful to calibrate and validate your modeling and computational approaches. You will
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at international conferences Your profile MSc in Materials science, Chemical engineering or related disciplines Solid background and interest in organic chemistry Strong analytical skills for materials and data