102 evolution "https:" "https:" "https:" "https:" "VIB" PhD positions at DAAD in Germany
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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for the development of scientific and personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science
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secure workplace and facilitate your individual career with our comprehensive training and development opportunities. Remuneration is according to the regulations of the TV‑AVH. DESY offers its employees a
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receive active support in applying for external doctoral funding. Application deadline: December 7, 2025 Further information and access to the online application portal are available at: https
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you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76059
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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 kerstin.achtruth at tu-dresden.de
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the usual documents by December 11, 2025(stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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November 26, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu
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developing methods to transfer ion-induced damage results to neutron-induced damage scenarios and accelerating material development cycles. The findings provide not only a scientifically sound assessment of