20 development-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"GUSTAVE-ROUSSY" PhD positions at University of Antwerp
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by households, and the strategies households develop to navigate this volatility. In the context of this project, we conduct a mixed-methods study that links consecutive monthly incomes collected among
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adults at increased risk of metabolic syndrome. The PhD project includes mechanistic studies of the targeted biotics, development of biotic interventions in collaboration with industry partners, and the
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, digital communications, wireless networking and software development through hands-on experimentation. The research offers the opportunity to contribute to cutting-edge technologies for future cyber
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oxygen-based photoelectrochemical sensing of nucleic acids. The project will involve the modification of photosensitizers with conjugation handles, the development of coupling strategies
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telecommunications, transportation, and emergency response systems. The overarching project will develop solutions for resilience against communication jamming, backhaul failure, core network failure, and extended
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contributes to the WiSeNet (Wireless Sensing-Immersive Integrated Satellite and Terrestrial Network) project, an FWO SBO project developing the next generation of AI-native integrated satellite and terrestrial
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have obtained it by the time of appointment. You submit an English research proposal for the research you will be developing in the field of well-being in legal professions. This proposal of maximum 5
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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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on consumer-centric circular logistics in an urban context, developing models for more responsive, efficient and sustainable logistics systems. You will draw up a research plan and corresponding research
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in the field of machine learning for circular polyurethane design. In your work you will help to develop a quantum-to-plant model to predict polyurethane recyclability and separation energy from