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The research topics will be related to the implementation of the project: Multispectral fluorescence supported by machine learning for the analysis of cell cocultures. The scientific goal of the project is to
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or equivalent Skills/Qualifications Doctorate (PhD) in science or engineering, preferred in Physics, Mathematics, Electronics or Computer Sciences; experience in deep learning modelling or research (theoretical
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activities in accordance with the university's regulations working in research and teaching teams in the area of machine learning and signal analysis developing signal processing methods developing machine
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reality, computer simulation, 14. DESCRIPTION (field, expectations, comments): The candidate for this position should be prepared to teach in the area of applied computer science, especially in the subjects
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scientific research in the field of image processing and machine learning; 2) publishing research results and participation in scientific conferences; 3) conducting didactic classes and preparing teaching