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modeling into modern causal inference by combining its strengths with innovations in debiased machine learning, as well as to improve both the statistical efficiency and robustness of debiased machine
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learning techniques for the analysis of surgical videos focusing on error detection and performance metrics. Responsibilities: Drafting study protocols and submitting requests to the ethical committee
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at Ghent University from September 2025. The project aims to develop a minimally to non-invasive treatment for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning
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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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. 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