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the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to esailors at tu-dresden.de or to: TU Dresden, Institute
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of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). **Employment Conditions** • Start date: Flexible, from January 2026 onward • Salary: Based on the German public sector pay
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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. Applications can be submitted via our application platform (please select “I want to apply to the GSNAS”) until January 31, 2026. We will be happy to answer further questions via email at application
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of TU Dresden with access to further education and training opportunities flexible arrangement of working hours and remote work for balancing work and private life financial support for the purchase of a
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. Applications can be submitted via our application platform (please select “I want to apply to the GSNAS”) until January 31, 2026. We will be happy to answer further questions via email at application
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service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to slice at tu-dresden.de or to: TU
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the possibility of part-time employment, mobile working and flexible working hours Numerous company health management offerings Employee discounts with well-known providers via the platform Corporate Benefits
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the institutes of the DRESDEN-concept environment. The chair hosts its own computer cluster and has full access to the high-performance computing infrastructure at ZIH Dresden, one of Germany’s leading
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms