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or to analyse reactions to specific structural elements in grasslands to innovate in grazing management. Over the past decades, many studies have documented the potential of sensing technology to monitor
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within the Generation IV portfolio, offering high efficiency and sustainability. However, their robust safety demonstration remains essential. This PhD project focuses on a critical component of reactor
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approach, combining machine-learning–enhanced text-as-data analysis with qualitative discourse analysis. The project aims to produce a set of high-quality scholarly outputs, including peer-reviewed journal
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long-term) and the impact on (dose reduction and early discontinuation of) therapy. Oxaliplatin is an essential component of digestive oncology treatments but is often associated with acute and chronic
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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components, allowing analysis of wave propagation, reflection, and energy transport. In this project, Q-variables will be used to derive analytical expressions for kink-wave reflection and interaction terms
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elements of public space. The project has two core research pillars: 1. Spatial, Architectural, and Human-Space Analysis You will investigate how people use, move through, and experience wireless systems in
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defining formulations with desired properties, (ii) in silico microbiome design based on systems biology network analysis, and (iii) in vitro validation in a (inhouse developed) biofilm bioreactor system
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen
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to work on selective spectral microscopic imaging (SSMI) for in-situ sensing applications. Many emerging applications, including microplastic detection, food safety, bioimaging, and materials analysis