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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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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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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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behavior and/or brain physiology. A strong analytic background, particularly in modeling neural systems and analyzing large datasets. Experience with acoustic signal processing, sound recognition, and
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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
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(written and spoken). Sound informatics background at advanced user level of the Office package (Word, Excel, Power Point, etc.) and data analysis software Strong teamwork skills, ability to adapt
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) signal processing, machine/deep-learning and computational linguistics. The team mobilizes them to produce methodologically sound research in response to some of the challenges posed by the nature and
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. Information clause for persons participating in the recruitment process https://hr.uwr.edu.pl/en/information-clause-for-persons-participating-i… Where to apply E-mail praca@uwr.edu.pl Requirements Research
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construction materials and sound insulation of Finnish buildings from different decades of the twentieth century, and examining how they can be renovated and improved. Join us in shaping the future