39 component-labeling-cuda PhD positions at Technical University of Munich in Germany
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg
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ethnography, interviews and participant observation; analyse and interpret data, and triangulate findings with the results of quantitative project components; present results at conferences and co-publish them
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opportunities is part of our personnel policy. TUM encourages applications from qualified female candidates. Handicapped applicants will be given preference in the case of equal qualifications. Please note, that
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environment using machine learning technologies. This PhD position is part of our research on exploiting social media data for earth observation tasks. The work will be on the topic of developing geographically
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a part-time position. Interested? Interested candidates please send their documents, including CV and documentation of their academic education to anna.kruspe@tum.de. Technical University of Munich
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for applying to be part of our lab, and why you think you are the right candidate to fill this position (max. 2 pages). b) Curriculum vitae incl. list of publications. c) copy of your diploma/degree certificates
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PDF file – including: a) Motivation letter: Describe the reason for applying to be part of our lab and why you think you are the right candidate to fill this position (max. 2 pages). b) Curriculum vitae
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properties. The position is part of the Bavarian 6G Future Lab, the pilot project of which is a collaboration of 13 research teams at TUM, targeting research into novel foundational mechanisms for future 6G
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of transcripts and letters of recommendation, etc.) to the email address provided below. Granting equal opportunities is part of our personnel policy. TUM encourages applications from qualified female candidates