58 application-programming-android-"Prof" Postdoctoral positions at Technical University of Munich
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) - Semantic 3D Scene Understanding - Face / Body Tracking, 3D Avatars - Non-Linear Optimization - Media Forensics / Fake News Detection How to Apply: Follow the instructions on our application platform: https
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
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observations, focusing on indoor environments. Qualifications: • Applicants for a PhD must hold a Master’s degree in computer science or equivalent • Fluent written and spoken English skills • Proficient C
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towards Habilitation qualification. We look forward to receiving your application as a single PDF file until the deadline of 1 September 2025. Please send your application exclusively by email to Prof. Dr
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observations, focusing on indoor environments. Qualifications: • Applicants for a PhD must hold a Master’s degree in computer science or equivalent • Fluent written and spoken English skills • Proficient C
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world. About the position We invite applications for a 2-year Postdoctoral Researcher position starting in January 2026, supervised by Dr. Judit Lecina-Diaz and Prof. Rupert Seidl. The successful
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(incl. rec. letters) directly to Prof. Matthias Niessner (niessner@tum.de) - Please understand that we cannot review incomplete applications TUM and VC & AI Lab: The Technical University’s
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seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly en-couraged. Data protection As part of your application for a
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred