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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100
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focuses on pursuing blue-sky research, including: AI for medical imaging applications ranging from image reconstruction to analysis and interpretation AI for the early detection, prediction and diagnosis
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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drone remote sensing data. Your main responsibilities: • Developing methods for drone image calibration and image analysis, especially for hyperspectral/multispectral images. • Combining machine learning
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for a PostDoc position. The candidate will be working on metabolic phenotyping of cancer using hyperpolarized 13C magnetic resonance imaging (MRI). The PostDoc position is embedded in the Translational
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Chair of Biological Imaging 02.02.2024, Wissenschaftliches Personal We now seek a highly qualified and motivated PhD student (f/m/d) to drive the development of optoacoustic mesoscopy in hardware
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12.03.2024, Wissenschaftliches Personal The CAMP - Computer Aided Medical Procedures & Augmented Reality Lab, led by Prof. Dr. Nassir Navab (https://campar.in.tum.de/WebHome) and the Computational
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Glaser. In addition to a high-end NMR facility, our group has direct access on campus to a X-ray crystallography facility, as well as to a cryo-EM platform equipped with a Selectrix X imaging filter and a
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, physics, or similar fields. • Experience in signal processing, denoising etc. • Experience in formulating physical/mathematical models • Background in image data analysis and analysis of time
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Chair of Biological Imaging 31.01.2024, Wissenschaftliches Personal We now seek a highly qualified and motivated Post-doctoral researcher (f/m/d) to drive the development of optoacoustic mesoscopy