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Field
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Communication Media Holocaust & Remembrance All research groups offer members a dynamic think tank structure that facilitates taking up new developments rapidly. Therefore, the GCSC always welcomes individual
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PhD student you will be part of a dynamic and international research environment mainly focused on nutrition and health. Your nearest colleagues will be a small team of young investigators working with
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to operational downtime and increases energy use and damage on the hull structure. Traditionally, these coatings have been designed with toxic biocides and/or contribute to the waste of micro-plastic in our oceans
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form. These single-handed chiral (from Greek ?e?? (kheir), “hand”) structures are considered crucial for the evolution of life on the earth; a phenomenon called homochirality. The presence of exclusive
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Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Heidelberg Biosciences International Graduate School (HBIGS) focuses on the highly dynamic research areas
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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Max Planck Institute for Solid State Research • | Stuttgart, Baden W rttemberg | Germany | 8 days ago
Institute for Chemical Physics of Solids and Max Planck Institute for the Physics of Complex Systems in Dresden, Max Planck Institute of Microstructure Physics in Halle, Max Planck Institute for the Structure
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collaboration Relevant experience with programming languages (preferably Python) You work independently, in a structured and reliable manner. You are communicative, flexible and able to work under pressure
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we