75 post-doc-image-engineering-computer-vision PhD positions at Technical University of Munich
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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: Excellent university degree in engineering, chemistry, materials science, physics, electrochemistry or a similar
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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an interdisciplinary career skills programme across Europe. The Technical University of Munich (TUM) is one of the best universities in Europe. It is characterised by excellence in research and teaching
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clear focus on quality output. More in-formation about the group is available at www.ep.mgt.tum.de/pur Application Please send a cover letter that explains how this position fits with your experiences and
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Science, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
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scientists are expressly encouraged to apply. Applications Please send your applications to Jürgen Hauer via email (juergen.hauer@tum.de) until December 1st 2025. The position is suitable for disabled persons
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Department of Computer Science Technical University Munich Boltzmannstr. 3 85748 Garching (near Munich), Germany E-mail: albers@in.tum.de The position is suitable for disabled persons. Disabled applicants will
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Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group, please submit your application including all relevant documents (curriculum vitae, copies
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our