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that transcends the boundaries of faculties and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Raad . Psychosocial well-being at work and
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and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
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onboarding period that includes specialized courses and hands-on training in AI and machine learning. You'll also have the chance to explore different labs and core facilities, meet fellow researchers, and
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-driven approaches to health, society, and policy. BISI combines expertise in epidemiology, biostatistics, health economics, and machine learning to tackle complex societal challenges. BISI is actively
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Information Systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, and Machine Learning/AI 5G on organisations from
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problems in biology by combining machine learning with in-depth knowledge of biological processes. Who we are looking for You have a Master in Science (Bioengineering, Biochemistry-Biotechnology, Biomedical
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. You have a good knowledge of Python and machine learning. You have an excellent knowledge of English. Your research qualities are in line with the faculty and university research policies . You act with
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neuromorphic ultra-low-power active sensor readout and processing at the edge. The chip design will enable online learning capabilities, aiming at modulating the spatio-temporal filtering properties with
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“Reinventing Multiterminal Coding for Intelligent Machines (IONIAN).” Why cooperative perception? State-of-the-art autonomous vehicles can miss a critical obstacle when their camera is blinded by sun glare
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platform. Initially, a black box deep learning approach will be implemented. However, due to the need for robustness, transparency, and explainability (e.g. for quality control across sectors), the research