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laboratories and testbeds for optical communications in Europe and maintains a complete library of optical communications digital signal processing algorithms. We are recruiting students in the field of digital
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optical communication networks and systems as well as the coding of video signals and data processing. The Photonic Networks and Systems department is conducting research on the next generation digital
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Processing’. The focus of the work in this field is on neuromorphic photonic signal processing technologies and all-optical signal processing for applications in optical communications engineering, fiber-based
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structural intricacies. This project focuses on enhancing procedural generation by integrating Point Process Texture Basis Functions (PPTBF) with Open Shading Language (OSL). What you will do Integrate PPTBF
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. What you will do You will program a metrological application in medical technology using methods and libraries from image processing. You will also support us in programming the acquisition of spectra
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for data processing (MNE python, NumPy, Pandas) Hands-on-knowledge in signal processing Experiences with the conduction of neuroscientific/psychophysiological experiments are an advantage Ability
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analysis, search and recommendation of music data. The main areas of responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing
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analysis, search and recommendation of music data. The main areas of responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing
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manufacturing and laser material processing. We are currently developing machine learning-based approaches to make the laser powder bed fusion (LPBF) process more efficient and improve its quality. To this end, a
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of various cell types. What you will do In cognitive and chronic diseases, cellular morphology and mechanical properties can sensitively indicate pathological changes - sometimes even before classical