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of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB photography domain
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the development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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-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/active-learning methods
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with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using
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with simulated data and 3D imaging data of skin samples. The successful applicant will be an integral member of the EU PhotoMel community, which offers an open, diverse and inspiring environment