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responsibilities and tasks: Conduct research activities within the scope of the E.CoLith project. Collaborate closely with the other researchers in synthetic microbiology, modelling and living-material architecture
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considered a strong asset. Experience with Deep Learning and Artificial Intelligence is considered a plus. Excellent proficiency in the English language is required, as well as good communication skills, both
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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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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
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. Although AI is increasingly being used to support the learning of productive language skills, empirical evidence regarding its effectiveness in foreign language education remains limited. In this project, we
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working environment, particularly within the MIDI research group. Supervision by your supervisor and co-supervisor. The opportunity to collaborate with other PhD students and learn from the expertise