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Python and common deep learning frameworks (PyTorch) • Excellent communication skills in English (German is a plus) • Independent, structured working style and experience in supervising students Preferred
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(limited to 2000 characters), the email addresses of 2–3 references who can provide a letter of recommendation, if required for the specific position. For more details about the program (including further
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and motivation for the position (limited to 2000 characters), the email addresses of 2–3 references who can provide a letter of recommendation, if required for the specific position. For more details
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with regard to numerical simulation of the impact of detonation and deflagration events on infrastructure and modelling of structural behaviour under highly dynamic loads Provision of scientific and
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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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the reference number, or by email to: bewerbung(at)leibniz-gwzo.de . Questions regarding the application can be addressed to Prof. Dr Arnold Bartetzky (arnold.bartetzky(at)leibniz-gwzo.de ). An application by e
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Contact persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Tübingen Structural Microscopy (TSM) Research data management (RDM) Core research Back Profile areas Cluster
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at international conferences Ability to work in a team Goal-oriented and structured approach to work Independent working style and commitment Willingness to learn and interest in interdisciplinary applied research
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for behavioural monitoring and stress assessment • Work in an interdisciplinary, collaborative environment with access to advanced infrastructure • Receive structured training in infection biology, animal models
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of high-temperature materials, including various strain measurement methods Comprehensive knowledge and practical experience in microstructural characterization using light and electron microscopy (SEM, EBSD) Knowledge