61 post-doc-parallel-computing PhD positions at Technical University of Munich in Germany
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. Please send them under the subject ”PhD Behaviour” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 30.05.2022. She will also be happy to provide you with further information in advance. The position
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(Hochschulzeugnisse mit Notenspiegel), and proofs of employment (Beschäftigungsnachweise). Please send your application pack as a single pdf-document via e-mail to bewerbung.ltf@ed.tum.de. Applying for a position at
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advantageous. How to apply Please send your application with a letter of motivation, a brief description of your research experience, your CV, and the contact details of two references as a single pdf file
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and an extensive server infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer
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essentially the same qualifications. Interested? We are looking forward to receiving your application via e-mail to applications.sem@cs.tum.de. The position will be open until an appropriate candidate is found
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strong ties with the LMU Munich, the University of Regensburg and the Helmholtz Zentrum München. Please send a letter of motivation and CV in a single PDF to: claus.schwechheimer@tum.de The positions
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mobility, user demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital
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master’s degree in Computer Science, Computational Linguistics, Natural Language Understanding, or similar Very good programming knowledge, preferably in Python Experience with state-of-the-art machine
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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very