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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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optical systems to generate temperature gradients, as well as imaging solutions such as FLIM and Schlieren imaging, in close collaboration with experts in lasers and optics. Co-supervision of undergraduate
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these. Documented experience of biophotonics. Documented experience of laser remote sensing. Documented experience of hyperspectral imaging. Independence, responsibility and organizational skills. Social skills