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At the Technical Faculty of IT and Design, Departmentof Computer Science, one PhD stipend intheories for programming semantics, methods for verification and reliability assurance of combined
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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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(e.g., Computer Science, Software Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) Strong skills in machine learning and deep learning Experience
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of manuscripts describing these efforts. Iterative FAIRification and Software documentation is also expected as part of the group’s efforts on Open and Reproducible Science. Your competencies A master’s degree in
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immediately can contribute to the topic. Applicants should have a background (MSc and BSc degrees) in Computer Science or Software Engineering and a demonstrated ability to work independently as well as in a