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to identify degrading enzymes from different data resources Using Hidden Markov Models and similar tools as well as machine learning for the identification of novel and better enzyme variants from a
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the efficient and reliable analysis and interpretation of different experimental imaging techniques such as atomic force or electron microscopy as well as tomography. We intend to use different machine learning
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on large scales Strong programming skills, preferably in C++ Some knowledge of Fortran, Python and Julia is an asset Some background knowledge in Machine and deep Learning is an asset A self-motivated
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