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on the TUD email server applies), preferably via the TUD Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it as a single PDF file to duo.liu at tu-dresden.de or to: TU
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priority for employment. Please submit your application with the usual documents by June 20, 2025 (stamped arrival date of the University Central Mail Service or the time stamp on the TUD email server
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thus explicitly encourage applications from female researchers. Individuals with disabilities will be given priority, assuming equal qualifications. Contact Please submit your application electronically
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explicitly welcome. Please send your application with informative documents (letter of motivation, CV, relevant transcripts, training certificates etc.) exclusively in electronic form and in a PDF file (other
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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less than eight semesters, three references are required; please use the official DAAD template [doc-Datei] and ask your professors to email the confidential document to the GSPoL. Step 2: personal
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(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-dresden.de by sending it
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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submit your application including the attachments mentioned below as one single PDF document in English via email to applications.pft(at)cs.tum.de : CV including publications A max one page motivation