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well as biologists. This in turn requires complete honesty and ease in revealing which fields the candidate is not an expert in, such that other team members can teach and support them Desirable: Having taken courses
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to quality, integrity, creativity and cooperation. You have a profound knowledge of wireless communications, networking, and signal processing. You have at least intermediate knowledge of machine learning
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: Autumn 2026 (or as soon as possible thereafter). For more information please contact Prof. dr. ir. Liesbet Vranken, mail: [email protected] . Where to apply Website https://www.kuleuven.be
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
machine-learning methods, you will analyze flame-turbulence interactions, pollutant formation, as well as unclosed terms relevant to LES modeling. The analysis involves the fluid dynamic as
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will aim to go significantly beyond the state-of-the-art; A world-class, dynamic and stimulating work environment with state-of-the-art instrumentation and computing facilities (see also http
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PhD pathway. You will present the findings of your PhD research at academic conferences and you will publish them in scientific journals. Education You will provide support with teaching and also teach
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, engineered powders, including Cermetal and WC-Co-based materials, will be investigated as energy-absorbing media within the damping system. The development combines computational modeling, machine learning
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fluidics, statistical analysis and machine learning tools will be employed extensively. A specific focus will be in advancing biotechnological breakthroughs toward CCUS-conforming biomaterials, which can be
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predoctoral funding. Preferably, you are eligible for the PhD fellowship fundamental research of the FWO (https://fwo.be/en/support-programmes/all-calls/phd/phd-fellowship-fundamental-research/ ) You will carry
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willing to acquire this. You have a good knowledge of cell biology, molecular oncology, signal transduction, and immunology. You have experience with or an interest in 3D-cell culture models, patient