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Field
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with symbolic knowledge representation are applied (Neurosymbolic AI). The position is related to the BMBF project Plattform MaterialDigital III (PMD III, 2025-2028) in the department of Knowledge
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. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When
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with the document issued in the original language. Submit the application online. Please note: If you have any technical questions or problems your local information and advice centres could not help you with, please
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Unterrichtserfolg: Mehrdimensionale Bildungsziele und die Sicht der Beteiligten" wird ab sofort ein Postdoc gesucht. Nähre Infos: http://zib.education/stellenangebote.html The position is suitable for disabled
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Tasks and Job Description • Development of a research concept for implementing computational methods in welding and additive manufacturing to design new alloys and determine microstructures and properties
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funded by the German Federal Ministry of Education and Research (BMBF). The position is funded for four years with a possible extension. The project will start on October 1, 2021. Topics of the positions
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and international group If you are interested, please submit your application documents (CV, cover letter, transcripts) under zhulab@lrg.tum.de The position is suitable for disabled persons. Disabled
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Qualifikation bevorzugt eingestellt. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance
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for the research scholarships by the GHS, independent of nationality or place of work. The funding is granted to candidates wishing to carry out an independent research project alone. Post-doctoral scientists
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– 57k Euro / year + benefits). Topics include: Neural Rendering, 3D Reconstruction, SLAM / Pose Tracking, Semantic Scene Understanding, Face/Body Tracking, Non-Linear Optimization, Media Forensics / Fake