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Field
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applications and impact in audio, communications, and music technology. - Develop theoretical models of wave propagation and hybrid methods that combine physical models with artificial intelligence techniques
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on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems
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skills; Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods or artificial intelligence; A good team spirit
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of artificial intelligence and robotics. The postdoctoral researcher actively participates in the research, teaching and administration of this group. Further information can be found here: https
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artificial intelligence. Potential research topics include the mathematical and statistical analysis of modern generative models, particularly diffusion- and flow-based models, as well as their applications
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we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and
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have completed the requirements for a first degree in computer science, artificial intelligence, bioinformatics, computational biology or a related quantitative discipline before taking up
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methods or artificial intelligence; • A good team spirit and willingness to collaborate; • Very good command of the English language. These skills would be an advantage: • Experience with
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Paravision Micro-CT, optical imaging, photoacoustic imaging, PET, or SPECT Artificial intelligence or machine learning for biomedical image analysis Python, MATLAB, C++, or similar scientific programming
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into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and