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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, paleoclimatology, micropalaeontology and
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2019, unites top PhD students in all areas of data-driven research and technology, including scalable storage, stream processing, data cleaning, machine learning and deep learning, text processing, data
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texts for your fields and develop collaborative projects. Your participation in workshops and master classes will ensure that you are up to date with current academic discourses and will give you the
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music. Individual theses analyse art, fictional or non-fictional texts or musical works that have exerted important and lasting effects on the shared history of European culture, and they examine the
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theoretical texts and concepts. In addition, this PhD programme includes: Elective Options (18 ECTS credits): Elective options are meant to give students the opportunity to improve their professional skills and
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, C++, etc.) Knowledge of machine learning, data mining, or related fields Excellent communication skills and ability to work in a collaborative team environment Interest in social science research
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to build innovative solutions involving industrial partners Interest in applying NLP technologies to problems and texts from the legal domain Strong communication skills and the ability to lead software