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at Earth Species Project: Develop AI pipeline for acoustic data processing 3 months at Kyoto University: Hypothesis testing with Okinawan data 2 months at Think Nature: Use sound/network data as
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least master's-level training in biomedical engineering, electrical engineering, signal processing or equivalent training, with a strong foundation in applied mathematics and programming. • Hands-on
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neuroprostheses • To study and define 'signature' electrical signals associated with neurodegenerative diseases, particularly in the context of hallucinations • To identify suitable signal processing
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and multisensory XR at the intersection of acoustics, signal processing, XR, and human perception. You will develop and evaluate physics-based and data-driven audio rendering methods within the
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Earth science, signal processing, and computational data analysis; demonstrated written and verbal communication skills; and the ability to work both independently and collaboratively with individuals
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 29 days ago
Engineering, Physics or Mathematics, an area relevant to the subject, good analytical skills and a strong interest in performing experiments is required. a solid knowledge of signal processing and mathematical
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processing. The candidate must be able to work independently and have knowledge of MATLAB programming and signal/image processing. Experience or skills in medical applications are appreciated. Please
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sensors; - Knowledge of scientific programming, preferably Python and/or MATLAB, applied to data processing, signal analysis, visualisation of results or development of experimental routines; - Experience
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working in this cross-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop
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at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The