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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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for Spectroscopic and Acoustic Imaging (https://www.photoacoustics.lu.se/ ). The doctoral student will gain knowledge in optical measurement methods, medical image processing, development of computational models, and
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language such as Python, R, C, or MATLAB Fluent in English for communication and scientific writing Merits: Knowledge and experience in: Data Science and Statistics Radio Frequency Digital Signal Processing
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. Qualifications We are looking for a very motivated and enthusiastic doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g
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combination of expertise in computing education research, computerized image analysis, and human-machine interaction (HMI). Within the HMI unit, the Digital Ecologies Lab is led by Prof Mike Hazas and has five