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of Prof. Jeroen Famaey as a member of the IDLab-UAntwerp research group at imec and the University of Antwerp. You will closely collaborate with other researchers at IDLab-UAntwerp. You will write detailed
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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
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of reinforcement learning (RL) for industrial process control and optimisation. The research focuses on developing RL methods that can support decision-making and control in complex industrial systems while
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group led by Prof. Yves Van de Peer, in close collaboration with the UGent Phycology Research Group led by Prof. Olivier De Clerck. Together, these groups combine world-leading expertise in genome
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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of FLEX-SMR, a project funded by the Belgian Federal Government through the Energy Transition Fund. The project is a collaboration between KU Leuven, The Binding Energy (TBE), and INOVYN Manufacturing
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looking for a full-time (100%) doctoral scholarship holder in the field of machine learning for circular polyurethane design. Position You will actively work on the preparation and defence of a PhD thesis
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plasticity consists in learning dendritic, synaptic, or axonal temporal delays to enrich the network’s spatiotemporal dynamics. This research project will thus explore how these different mechanisms can be
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that do not have this background, are strongly motivated to acquire the relevant skills during the early phases of the PhD, supported by training and in close collaboration with experts in single-cell
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference