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(preferably) in Civil Engineering-Architecture, Civil Engineering or equivalent degree. You enjoy performing research. You are independent, self-motivated and eager to learn. Experience and/or a master thesis
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affinity for working in a laboratory environment. You are eager to learn and motivated to further develop your knowledge and skills. You work with precision and are capable of collecting, documenting, and
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interdisciplinary research team, focusing on human-robot interaction, unconventional robotics, cognitive systems and machine learning. You will have access to the full facilities of IDLab, including high-performance
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at national and international conferences. You may be asked to teach exercise sessions (in English) for a course taught by the department staff, or to help in the supervision of master’s theses. Your ultimate
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in
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. Digital Extraction from Historical Taxonomic Literature Application of OCR and machine learning algorithms to digitize printed and handwritten documents; Linking specimen mentions in literature to digital
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excellent predisposition to learn how to work with these data is a basic requirement). What we can offer you: The PhD appointment is full-time for 4 years (contingent on a positive evaluation after the first