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interest and competence in practical application of statistical learning or machine learning Working environment: The project will be done in an interdisciplinary team. The successful candidate will work in
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centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital
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topics: Microscopy Bioimaging Cell biology Machine learning Optics related courses (such as Fourier, Statistical) Computational imaging/modelling Digital image processing/analysis Experience in multi
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evaluation in collaboration with the centre’s user partners such as KSAT. We are therefore seeking a computer scientist or similar with a strong interest and competence in deep learning. Working environment