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Dynamic Spectroscopies Group, Technical University of Munich (TUM) | Garching an der Alz, Bayern | Germany | 3 days ago
in an international environment Ability to work with specialists from other fields, such as theoretical physics and synthetic chemistry, in an interdisciplinary project Tasks Together with a postdoc
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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
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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
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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
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mentorship by professors and postdocs of the research school, interaction with many peers, enormous computing power with HPI’s data lab, and significant travel funding. The scholarships are not subject to
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, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is
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accommodation, food, health insurance and books are approx. 1,000 EUR per month. Please note that fees for health insurance may vary according to age. Living expenses might be slightly higher. Students
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interdisciplinary approaches. • Good language (written and spoken English) and presentation skills. • Ability to work in a team, with effective interpersonal coomunication skills. • Knowledge of German