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for detection and/or classification of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance computing is considered an advantage. • Strong analytical and quantitative skills
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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