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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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of graduation and academic transcript — in electronic form under “Apply for this position .” By submitting an application, you agree that your data will be processed electronically. For questions about the
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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study of new emerging magnetic or superconducting materials with strong electronic correlations or magnetic frustration, especially those involving topological features such as spin liquids or phases
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is in accordance with TV-L, with VBL pension scheme. We encourage you to reach out informally before submitting a formal application. Send a brief email to Raymundo Báez-Mendoza at rbaezmendoza
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disabled persons (m/f/div) are explicitly welcome. Please send your application with informative documents (letter of motivation, CV, Master certificate, training certificates) exclusively in electronic
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Institute for Emerging Electronic
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email to: Anja Albrecht (Administration) recruiting.leibniz-lsb(at)tum.de . We look forward to receiving your application! Data Protection Notice: As part of your application for a position at Leibniz-LSB