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Master's degree in a relevant field, such as mechanical engineering, civil engineering, or materials engineering. You have a strong background in computational solid mechanics and finite element modelling
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are looking for one Doctoral fellow About CMET The Center for Microbial Ecology and Technology (CMET) (www.CMET.UGent.be ) is part of the Faculty of Bioscience Engineering at Ghent University, as well as part
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staff and students. Within the faculty of Engineering and Architecture, the IDLab research group performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas
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of technology in arbitration by critically examining the various ways in which technological tools can enhance arbitral processes. It also seeks to assess to what extent such innovations can be reconciled with
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the literature. The research consortium comprises the Department of Food Technology, Food Safety and Health (Prof. Bruno De Meulenaer, Prof. Liesbeth Jacxsens and Prof. Katleen Raes) and the Department of Animal
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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technology. You will experimentally test and refine various strategies to establish a robust and efficient protocol. Once successful, this method can be applied not only to genetic research in spider mites but
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researcher to join our enthusiastic and young interdisciplinary teams of Prof. Dmitriev (Tissue Engineering and Biomaterials Group) and Prof. Vergult (Functional Genomics lab), as part of the MINDFUL research
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collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine
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of time Job profile You hold a Master’s degree, preferably in a quantitative discipline (e.g. mathematics/physics/engineering), and/or you are familiar with coding and data analysis regardless