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atmosphere. You will have to opportunity to work on a both technically and operationally relevant, application-oriented topic from the area of speech signal processing. You will be supported by experienced
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atmosphere. You will have to opportunity to work on a both technically and operationally relevant, application-oriented topic from the area of speech signal processing. You will be supported by experienced
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Requirements Bachelor’s degree in exploration seismology, applied geophysics, or related field At least 2 years of relevant experience in geophysical signal processing Familiarity with related literature and
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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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and the natural sciences. The Faculty of Languages and Literaturesinvites applications for a Full Professorship (W3) of Phonetics and Speech Processing (Chair) commencing on 1 April 2028. The chair is
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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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of further appointment] Duties The appointees will assist the project leader in the research project - “Multilingual speech brain-machine interface (BMI): accurately translating brain activity signal
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Reference: 0181-26 Senior Research Associate in Machine Learning for Speech Processing Department: Phonetics Laboratory / Linguistics and English Language Contract: Full-time (1.0 FTE), fixed-term [18 months
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for data analytics, signal processing, ultrasound waves generation A good record of GPA Journal publication is a plus We regret to inform that only shortlisted candidates will be notified. Hiring Institution
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Combination of basic research and language technology Cognition and human speech processing The professorship will also supervise and develop the Bavarian Archive for Speech Signals (BAS), including the BAS Web