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computer vision methods such as optical flow or motion estimation Experience with geospatial data processing (NetCDF/CF, GeoTIFF, xarray, GDAL/rasterio) Experience with GPU computing or deep learning
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Qualification requirements PhD or equivalent academic qualifications with a specialization in computational musicology, computer/data science, informatics, sound and music computing, or other related field
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/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording and analysis, vocal recording and analysis, dataset preparation, time-series analysis
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musicology, computer/data science, informatics, sound and music computing, or other related field. The applicant is required to document that the degree corresponds to the profile of the post. Experience with
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and/or vocalization, motion capture recording and motion/biomechanical analysis, computer vision approaches to pose tracking from video, surface electromyography (EMG) recording and analysis, vocal
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on your estimated date for the doctoral dissertation, or confirmation that your PhD thesis has been submitted. Documentation of a completed doctoral degree must be presented before taking up the position