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project, a machine learning algorithm will be developed for magnetic systems. Specifically, the project aims to solve non-linear magnetic equations (e.g. macroscopic Maxwell equations) using physically
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8 May 2024 Job Information Organisation/Company Johannes Kepler University Department the Institute for Machine Learning Research Field Computer science Researcher Profile Recognised Researcher (R2
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8 May 2024 Job Information Organisation/Company Johannes Kepler University Department the Institute for Machine Learning Research Field Technology Researcher Profile Recognised Researcher (R2
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number of possible applications cannot be mapped experimentally, you then use established model-based approaches to train machine learning models that can be used to conveniently examine systems with a
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sensors and cameras and design scalable embedded vision systems and apply machine learning methods (for e.g., deep learning) to conduct high-performance visual quality inspections of products in
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, streaming, and quality of experience (QoE); Machine learning, preferably in the context of (distributed) multimedia systems or/and computer vision Very good scientific communication and dissemination skills
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, signal processing, sensors, machine learning Strong motivation in research, teaching and organization Teamplayer Language skills: German and English at B2 level What We Offer: On the basis of full-time
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diagnostic imaging methods, as well as associated machine learning applications to strengthen, expand and cross-link existing research topics within the university. Additional Information Selection process The
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reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need
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fields. Proven knowledge in artificial intelligence and machine learning applications (e.g., PyTorch, TensorFlow). Familiarity with design computation tools like Grasshopper for Rhino3D and experience in