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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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Model, such as fifth forces and extra dimensions. Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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that infect bacteria, can hitchhike along with nematodes to overcome spatial barriers in their environment. Our team aims to build a model system to understand these newly discovered nematode-phage interactions
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-user feedback on functionality. The different sub-models will be integrated and validated based on data from the use cases and experiments. Your Working Environment You will be appointed to the Section
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more about the different phases within the PhD trajectory? You can read more about this on this page . You will work on a challenging project that explores the impact of genetic mutations in various
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. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data quality assurance. The research will integrate structured and
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for pavement lifetime prediction, primarily in Dutch conditions. Foreseen challenges include data harmonization, key relationship extraction, scalability, metadata structuring, predictive modeling, and data
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deposition, elastin degradation, and smooth muscle changes. By combining experimental research with computational modelling, you’ll shed light on mechanisms driving arterial stiffening and their impact on