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Ebrahim Norouzi: Unterschied zwischen den Versionen

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|Email=ebrahim.norouzi@partner.kit.edu
 
|Email=ebrahim.norouzi@partner.kit.edu
 
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|Info=<h4>ISE Neuigkeiten: </h4>
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<li>[https://sigmoid.social/@fizise Information Service Engineering @ Mastodon]
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<li>[[Information_Service_Engineering/Karriere|Open Positions at ISE]]</li>
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<li>[[Offene_Abschlussarbeiten - ISE|Offene Abschlussarbeitsthemen (Bachelor & Master)]]
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|Info EN=<h4>ISE Announcements:</h4>
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<ul>
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<li>[https://sigmoid.social/@fizise Information Service Engineering @ Mastodon]
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<li>[[Information_Service_Engineering/Karriere/en|Open Positions at ISE]]
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<li>[[Offene_Abschlussarbeiten - ISE/en|Open Bachelor & Master Theses]]
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|Info EN=Ebrahim Norouzi is a Junior Researcher at FIZ Karlsruhe with Prof. Dr. Harald Sack. He holds an M.Sc. degree in Materials Science and Simulation (ICAMS) from Ruhr University of Bochum. After completing his master’s degree, he worked as a scientific researcher at the Materials Informatics group of Fraunhofer Institute for Mechanics of Materials, IWM. He has solid knowledge of the programming language Python and various data science techniques such as machine learning, statistical analysis and data visualization as well as front-end development, and database management. He acquired a deep understanding of material characterization techniques from his previous work at the Max Planck Institute for Iron research. His research interests include Machine Learning, Semantic Web, and Modelling and Simulation in Materials Science.
 
|Info EN=Ebrahim Norouzi is a Junior Researcher at FIZ Karlsruhe with Prof. Dr. Harald Sack. He holds an M.Sc. degree in Materials Science and Simulation (ICAMS) from Ruhr University of Bochum. After completing his master’s degree, he worked as a scientific researcher at the Materials Informatics group of Fraunhofer Institute for Mechanics of Materials, IWM. He has solid knowledge of the programming language Python and various data science techniques such as machine learning, statistical analysis and data visualization as well as front-end development, and database management. He acquired a deep understanding of material characterization techniques from his previous work at the Max Planck Institute for Iron research. His research interests include Machine Learning, Semantic Web, and Modelling and Simulation in Materials Science.
 
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|Publikationen anzeigen=Ja

Version vom 22. Dezember 2022, 17:02 Uhr