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the framework of the Marie Skłodowska-Curie Doctoral Network METAMIC. Job description A fully funded PhD position (gender neutral) is available. The PhD candidate will perform research activities within
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caused by the exposure to diverse simulated weather scenarios and urban traffic loadings. Responsibilities Your responsibility is twofold. First, it is driving and performing the research efforts as
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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Integrating purpose science to enhance leadership and organizational performance Scaling purpose science to create accessible and personalized learning experiences Position Summary : This role is ideal for a
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systems, and husbandry practices. This Ph.D. position aims to gain new knowledge on fish microbiome-health & welfare dynamics, the development, stability, and resilience of microbiomes and performance and
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formulation, characterization, and performance testing of packaging systems in food applications. This PhD project aims to develop, characterize, and validate bio-based food packaging materials derived from
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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University of Reims Champagne-Ardenne (URCA) | Reims, Champagne Ardenne | France | about 14 hours ago
in early 20th century Italy, and its echoes in contemporary practices. By examining menus, literary texts, manifestos, and performative events (such as literary banquets and Futurist culinary
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the performance and explainability of Artificial Neural Networks (ANNs). In collaboration with our medical project partners, we hope to leverage the results of this ANN-based study to better understand social
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materials with the high performance of liquid systems. Through innovative ultraviolet photopolymerisation, you will synthesise and optimise eco-friendly GPEs using varying polymer blends, solvents, and