61 post-doc-computer-vision PhD positions at Technical University of Munich in Germany
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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, or cloud computing. Fluency in spoken and written German. We are looking forward to receiving your comprehensive online application until 20 June 2021. Please send your application (in English) in a single
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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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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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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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systems through reachability analysis, which computes the union of all possible trajectories a system can reach within a finite or infinite time when starting from a bounded set of initial states. The
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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