128 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at DAAD
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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
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literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic
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Beijing DRC Building D1, 1102A 19 Dongfang Donglu, Chaoyang District 100600 Beijing, VR China Tel.: +86 010/6590 6656 Fax.: +86 (10)/6590-6393 E-Mail: postmaster@daad.org.cn WWW: https://www.daad.org.cn/zh
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about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe
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of all nationalities. How to Apply — Find further information about the IMPRS, our research, and our online application procedure on our website: https://www.mpimp-golm.mpg.de/IMPRS-PhD Please note that we
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of English language skills by January 8, 2026 (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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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 iak at mailbox.tu-dresden.de
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using X-ray and neutron scattering. The main research areas are materials for photovoltaics, proteins in solutions and at the interfaces, complex nano-structured materials and machine learning tools