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and mechanical engineers to develop next-generation wind analytics software, as well as perform research on scalable analytics architectures. We are looking for creative applicants with a strong passion
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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on acoustic sensing in autonomous driving is still limited and commercial solutions do not yet exist. The objective of this research project therefore is to develop multi-channel acoustic sensing algorithms
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an innovative academic education to more than 20 000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international, and
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Peer research group at UGent/VIB offers the applicant the opportunity to develop a broad scientific network. Profile You have a keen interest in applied plant research and in combining wet-lab
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at the University of Melbourne and one year at KU Leuven. The supervision team at KU Leuven is Nele De Cuyper (Faculty of Psychology and Educational Sciences) and Marijke Verbruggen (Faculty of Economics and Business
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correlation of the damage mechanisms at micro- and macro-scale. This also generates accurate input data for multi-scale models for composites. This PhD will further develop and enhance these micromechanical
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education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career
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medical data. Collaborating with fellow researchers to develop foundations for a generic paradigm for assumption-lean causal/statistical modeling. Writing high quality publications, targeting top journals
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-based, narrative, computational and synthetic media. Through design driven research, the project aims to develop speculative architectural design propositions that engage with the postdigital condition