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learning methods to conduct high-performance visual quality inspection in industrially relevant settings. The objective of this master’s thesis project is to optimise image processing algorithms for Tensor
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), robustness and flexibility. We cover the whole data processing chain including image capture, computational imaging and classification with classical and AI methods. You will develop concepts, specifications
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magnetic resonance imaging (MRI). Towards this aim, we will develop a comprehensive mathematical and computational framework for quantitative imaging, including physical modeling and optimization of the data
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microenvironmentMachine Learning for treatment response monitoring of glioma patientsBest practices in ML-workflows for medical imaging in case of small training sample sizesIntegrating PET/MR Imaging Parameters with
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ability to express yourself both orally and in writing Computer literacy (MS-Office; Imaging Software) Basic experience in academic writing Didactic competences / experience with e-learning Excellent
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imaging (MRI). Towards this aim, we will develop a comprehensive mathematical and computational framework for quantitative imaging, including physical modeling and optimization of the data acquisition
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, for e.g.: Railway / Public Transport, Construction Industry, Logistics & Transportation, Agriculture & Forestry as well as in Aviation. Image descriptors are a fundamental technology in computer vision
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are learned using a fixed procedure, and the latent variable has high dimensionality. Recently, diffusion-based generative models have proven successful in image processing, in reinforcement learning and
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• Computer literacy (MS-Office; Imaging Software) • Basic experience in academic writing • Didactic competences / experience with e-learning • Excellent command of written and spoken English (C1 Level
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processes by reducing waste, product failures and emissions. Our Competence Unit Complex Dynamical Systems focuses on the development and deployment of algorithms to control various types of systems