24 bayesian-object-tracking Postdoctoral positions at Technical University of Munich in Germany
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) expect to appoint an experienced postdoctoral researcher in Fall 2025 (with flexible starting date). We are looking for an innovative experimentalist (m / w /d) with an established research track record
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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to revolutionize the research field in 3D learning. Research topics include: - Neural Rendering: 3DGS, NeRF, etc. - Generative AI: Diffusion, LLMs, GANs, etc. - 3D Reconstruction - SLAM / Pose Tracking (SfM, MVS
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disciplines (typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one
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fast response, new sensing-electrode chemistries, and an expanded scope of gases. The objective of the proposed PhD project is to investigate new materials, manufacturing routes and devices as
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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19.09.2023, Wissenschaftliches Personal The Bienert Lab is part of the TUM School of Life Sciences of the Technical University of Munich located in Freising-Weihenstephan. The main objective
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research and take over a leadership role (Team Lead) in the institute Motivation Do you want to put your scientific career on the fast track and feel electrified? Do you have ambitions to lead a research
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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
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with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D