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students will have the opportunity to work together with internationally recognized scientists and develop their research projects in an innovative research environment. We also have a PhD Association, which
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-IMPACT ( TURBOmachinery Innovative Manufacturing, Processing, Analysis, Characterization, and Topology; Website: https://cordis.europa.eu/project/id/101311350 ). The TURBO-IMPACT project, funded by
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conflicting, gender narratives across social media, television, and video games. The project will combine innovative quantitative (e.g., longitudinal research, daily diary research, and data donation with
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in Bachelor or Master programmes. We offer a stimulating work environment in a dynamic team of scientists at KU Leuven, an innovative and highly ranked university, recognised for its strong research
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methodological innovation with practical relevance and will be conducted in close collaboration with industry partners, particularly in smart industry environments, ensuring that the research delivers tangible
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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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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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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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, they are difficult to scale, maintain, and align with regulatory DPP requirements or evolving product configurations. Research objectives The objective of this PhD project is to design DPP data