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willingness to learn A solid foundation in experimental research, data analysis, and scientific methods Interest in machine learning and data-driven approaches to materials discovery Strong interest in hands
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, including the following documents: letter of interest including your ideas of possible work. a curriculum vitae (with list of publications and contact information of at least two referees). grades of all
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, race, national origin, color, gender, sexual orientation or religion. For further information about the position, please contact the Principal Investigator Dr. Moritz von Brescius (moritz.vonbrescius
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include low energy-consuming electric-field-controllable non-volatile memory elements with high information density. The recent progress in controlling the electrostatic and elastic boundary conditions in
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contact information of at least two referees A cover letter detailing your research background and research interests (< 1 page) Academic transcripts (Bachelor and Master) Please note that we exclusively
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researchers at conferences and more. What will make you stand out A proactive, creative mindset when it comes to solving complex scientific and engineering challenges. A willingness to work on large data
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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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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