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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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including anechoic chambers and controlled experimental environments, ensuring high-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring
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experience: • Expertise in machine learning for audio, including speech, music and ambient sound generation • Research publications in relevant areas, i.e., generative AI, speech/audio signal processing
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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priorities at any given point in time. In the near term, to support ongoing research within the institute, the appointed candidate will be expected to contribute to the analysis of various energy transition
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signal processing, vibration analysis, and acousto-structural transmission path investigations to identify dominant noise sources and structural coupling mechanisms. iii. Develop and implement measurement
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experience: Expertise in machine learning for audio, including speech, music and ambient sound generation Research publications in relevant areas, i.e., generative AI, speech/audio signal processing, machine
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learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI
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Department of Botany and Zoology, Faculty of Science, Masaryk University in Brno | Czech | 5 days ago
(sound) subtly deform optical fibres, creating detectable changes in light propagation. We are looking for a driven researcher to explore these mechanisms, assess the security risks of fibre-based
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-channel data acquisition systems. ii. Perform signal processing, vibration analysis, and acousto-structural transmission path investigations to identify dominant noise sources and structural coupling